{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.datasets import fetch_openml\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras import models, layers\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix,ConfusionMatrixDisplay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 数据\n",
    "years = [2018, 2019, 2020, 2021, 2022, 2023, 2024]\n",
    "market_size = [1200, 1800, 2500, 3200, 4000, 4800, 5500]\n",
    "\n",
    "# 绘制折线图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(years, market_size, marker='o', linestyle='-', color='#1f77b4', linewidth=2)\n",
    "plt.title(\"China's Smart Elderly Care Market Size(2018-2024)\", fontsize=14)\n",
    "plt.xlabel(\"Years\", fontsize=12)\n",
    "plt.ylabel(\"Market Size\", fontsize=12)\n",
    "plt.grid(True, linestyle='--', alpha=0.6)\n",
    "plt.xticks(years)\n",
    "\n",
    "# 显示数据标签\n",
    "for x, y in zip(years, market_size):\n",
    "    plt.text(x, y, f\"{y}\", ha='center', va='bottom')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "清洗数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正在加载MNIST数据集...\n"
     ]
    }
   ],
   "source": [
    "# 加载MNIST数据集\n",
    "print(\"正在加载MNIST数据集...\")\n",
    "X, y = fetch_openml('mnist_784', version=1, return_X_y=True, as_frame=False)\n",
    "X = X / 255.0  # 归一化\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 标准化数据\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绘制混淆矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(y_true, y_pred, title):\n",
    "    cm = confusion_matrix(y_true, y_pred)\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
    "    plt.title(f'{title}的混淆矩阵')\n",
    "    plt.ylabel('真实标签')\n",
    "    plt.xlabel('预测标签')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Logistic回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic回归准确率: 0.9150\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x285ba43f020>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_reg = LogisticRegression(max_iter=100)\n",
    "log_reg.fit(X_train_scaled, y_train)\n",
    "log_reg_score = log_reg.score(X_test_scaled, y_test)\n",
    "print(f\"Logistic回归准确率: {log_reg_score:.4f}\")\n",
    "y_pred_logistic = log_reg.predict(X_test_scaled)\n",
    "ConfusionMatrixDisplay.from_estimator(log_reg, X_test_scaled, y_test, cmap='Blues')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (10) reached and the optimization hasn't converged yet.\n",
      "  warnings.warn(\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30495 (\\N{CJK UNIFIED IDEOGRAPH-771F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26631 (\\N{CJK UNIFIED IDEOGRAPH-6807}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 31614 (\\N{CJK UNIFIED IDEOGRAPH-7B7E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30340 (\\N{CJK UNIFIED IDEOGRAPH-7684}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28151 (\\N{CJK UNIFIED IDEOGRAPH-6DF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28102 (\\N{CJK UNIFIED IDEOGRAPH-6DC6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30697 (\\N{CJK UNIFIED IDEOGRAPH-77E9}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38453 (\\N{CJK UNIFIED IDEOGRAPH-9635}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MLP准确率: 0.9695\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mlp = MLPClassifier(hidden_layer_sizes=(100, 50), max_iter=10)\n",
    "mlp.fit(X_train_scaled, y_train)\n",
    "mlp_score = mlp.score(X_test_scaled, y_test)\n",
    "print(f\"MLP准确率: {mlp_score:.4f}\")\n",
    "y_pred_mlp = mlp.predict(X_test_scaled)\n",
    "plot_confusion_matrix(y_test, y_pred_mlp, 'MLP')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CNN模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\keras\\src\\layers\\convolutional\\base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m700/700\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 7ms/step - accuracy: 0.8325 - loss: 0.5181 - val_accuracy: 0.9749 - val_loss: 0.0738\n",
      "Epoch 2/5\n",
      "\u001b[1m700/700\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 6ms/step - accuracy: 0.9812 - loss: 0.0622 - val_accuracy: 0.9831 - val_loss: 0.0491\n",
      "Epoch 3/5\n",
      "\u001b[1m700/700\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 6ms/step - accuracy: 0.9873 - loss: 0.0410 - val_accuracy: 0.9851 - val_loss: 0.0443\n",
      "Epoch 4/5\n",
      "\u001b[1m700/700\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 6ms/step - accuracy: 0.9914 - loss: 0.0289 - val_accuracy: 0.9879 - val_loss: 0.0363\n",
      "Epoch 5/5\n",
      "\u001b[1m700/700\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 6ms/step - accuracy: 0.9930 - loss: 0.0228 - val_accuracy: 0.9873 - val_loss: 0.0417\n",
      "\u001b[1m438/438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step - accuracy: 0.9874 - loss: 0.0410\n",
      "CNN准确率: 0.9874\n",
      "\u001b[1m438/438\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30495 (\\N{CJK UNIFIED IDEOGRAPH-771F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26631 (\\N{CJK UNIFIED IDEOGRAPH-6807}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 31614 (\\N{CJK UNIFIED IDEOGRAPH-7B7E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30340 (\\N{CJK UNIFIED IDEOGRAPH-7684}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28151 (\\N{CJK UNIFIED IDEOGRAPH-6DF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28102 (\\N{CJK UNIFIED IDEOGRAPH-6DC6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30697 (\\N{CJK UNIFIED IDEOGRAPH-77E9}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38453 (\\N{CJK UNIFIED IDEOGRAPH-9635}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 重塑数据为CNN所需的格式\n",
    "X_train_cnn = X_train.reshape(-1, 28, 28, 1)\n",
    "X_test_cnn = X_test.reshape(-1, 28, 28, 1)\n",
    "\n",
    "cnn_model = models.Sequential([\n",
    "    layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)),\n",
    "    layers.MaxPooling2D((2, 2)),\n",
    "    layers.Conv2D(64, (3, 3), activation='relu'),\n",
    "    layers.MaxPooling2D((2, 2)),\n",
    "    layers.Conv2D(64, (3, 3), activation='relu'),\n",
    "    layers.Flatten(),\n",
    "    layers.Dense(64, activation='relu'),\n",
    "    layers.Dense(10, activation='softmax')\n",
    "])\n",
    "\n",
    "cnn_model.compile(optimizer='adam',\n",
    "                 loss='sparse_categorical_crossentropy',\n",
    "                 metrics=['accuracy'])\n",
    "\n",
    "cnn_model.fit(X_train_cnn, y_train.astype(int), batch_size=64, validation_split=0.2)\n",
    "cnn_score = cnn_model.evaluate(X_test_cnn, y_test.astype(int))[1]\n",
    "print(f\"CNN准确率: {cnn_score:.4f}\")\n",
    "y_pred_cnn = np.argmax(cnn_model.predict(X_test_cnn), axis=1)\n",
    "plot_confusion_matrix(y_test.astype(int), y_pred_cnn, 'CNN')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LDA准确率: 0.8677\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30495 (\\N{CJK UNIFIED IDEOGRAPH-771F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26631 (\\N{CJK UNIFIED IDEOGRAPH-6807}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 31614 (\\N{CJK UNIFIED IDEOGRAPH-7B7E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30340 (\\N{CJK UNIFIED IDEOGRAPH-7684}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28151 (\\N{CJK UNIFIED IDEOGRAPH-6DF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 28102 (\\N{CJK UNIFIED IDEOGRAPH-6DC6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30697 (\\N{CJK UNIFIED IDEOGRAPH-77E9}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38453 (\\N{CJK UNIFIED IDEOGRAPH-9635}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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8eh+TuzojIDgWAcEx6NmgNJxsjPCz1xP5ckuY6sPEUAclzPShqSGBs50xAODpqwQkpr6voORn8+fMwrGjf2H5ytUw0DdAZEQEAMDQyAh6enoiRyesy//+A5lMBgeH0ggODsayJYvg4FAanbt0+/yLCygDA8Mc43eK6evDWGpcqMf1LFm8EI2bNIW1jQ2io6OxYe0aJCYkoFOXrmKHpjJeK5aifoNGsLK2RmJiIk4ePwp/v+tYuWYDJBIJev/UF5u816GUffZZ4E0b10FPTw9t2nUQO/RvlpSUiBfBwfLnoaEheHA/CMWlUtjY2AIAEhIScOrkCYwdP0msMAWXlJiIYMX3ISQE94OCIJVKYWNrK2JkqvWp7W0sNcbG9WvRuGkzmFtYIC42Fnt3++DVq3C0bN1GxKhVr6hs72/CiocgREs8xo8fj6FDh8Lf3x8tW7aElZUVJBIJwsPDcerUKWzcuBHLly9Xe1xVS5viiMf7s9bzelcHAPj88wQLDwegbfXsrjQX57ZVel0nzzP49/5rAMC6kw+gp62Beb2rwdhQF/eCY9B90Tk8e/1+YLlHNxf0avj+RnsX5rTNsZz8bu8eHwDAgP59lKbPnuuJzl0L7w9wAHjz5g1WLl+KV6/CIZUao3nLVhg5egy0tYUdW0Tq9+pVOCZPGIuYmFiYmJqgSpWq2L5rL2xtS4gdmspER0fht6kTERkRAUNDIziVK4+VazbIr2TV7+eBSE1JwYJ5s/EmPg7OLlWwaq03DAwMP7Pk/C8wIACDfuknf75k0QIAQMfOXTB7Xva/Txz7G5DJ0KZde1FiVId79wIw8Oe+8uf/W+QJAOjUuSvmzF8gVlgq96ntPXX6LDx7+hR/HhmN2JgYSI2NUdnZBZu27iwUN8tUVFS2N+U/EplM4a52arZnzx4sW7YM/v7+yMzMvqO3pqYm3NzcMHbsWPTo0eOrlmvWz0eVYRYYod69xA5BFOJ9gsXFC24ULRmZRfODrlFETzpqFNEveFYR3aEX1e2tl4/vJles8WzR/nbyhcJ7Y0dRN/kPP/yAH374Aenp6YiMjAQAmJub86wxEREREYlHo2gmg0LLF7mmtrb2F43nICIiIiKigilfJB5ERERERPkGB5cLgu8qEREREREJjokHEREREREJjl2tiIiIiIgUFdErjQmNFQ8iIiIiIhIcKx5ERERERIo4uFwQfFeJiIiIiEhwrHgQERERESniGA9BsOJBRERERESCY+JBRERERESCY1crIiIiIiJFHFwuCL6rREREREQF0MWLF9GxY0fY2tpCIpHg8OHDH207ZMgQSCQSLF++XGl6amoqRo0aBXNzcxgYGKBTp04ICQlRahMTE4M+ffpAKpVCKpWiT58+iI2NzXO8TDyIiIiIiBRJJOI98iAxMRGurq7w8vL6ZLvDhw/j2rVrsLW1zTHP3d0dhw4dwu7du3Hp0iUkJCSgQ4cOyMzMlLfp3bs3bt26hePHj+P48eO4desW+vTpk6dYAXa1IiIiIiIqkNq2bYu2bdt+sk1oaChGjhyJEydOoH379krz4uLi4O3tje3bt6NFixYAgB07dqBUqVI4ffo0WrdujaCgIBw/fhxXr15F7dq1AQAbNmxA3bp18eDBA5QvX/6L42XFg4iIiIgon0hNTUV8fLzSIzU19auWlZWVhT59+mDChAmoXLlyjvn+/v5IT09Hq1at5NNsbW3h7OyMy5cvAwCuXLkCqVQqTzoAoE6dOpBKpfI2X4qJBxERERGRIomGaA9PT0/5WIp3D09Pz69ajYULF0JLSwujR4/OdX54eDh0dHRgYmKiNN3Kygrh4eHyNpaWljlea2lpKW/zpdjVioiIiIgon/Dw8MDYsWOVpunq6uZ5Of7+/lixYgVu3LgBSR7HjshkMqXX5Pb6D9t8CVY8iIiIiIgUiTi4XFdXF8WLF1d6fE3i8c8//+D169ews7ODlpYWtLS08Pz5c4wbNw4ODg4AAGtra6SlpSEmJkbpta9fv4aVlZW8zatXr3IsPyIiQt7mSzHxICIiIiIqZPr06YM7d+7g1q1b8oetrS0mTJiAEydOAADc3Nygra2NU6dOyV8XFhaGgIAA1KtXDwBQt25dxMXF4fr16/I2165dQ1xcnLzNl2JXKyIiIiIiRQXkBoIJCQl4/Pix/PnTp09x69YtmJqaws7ODmZmZkrttbW1YW1tLb8SlVQqxYABAzBu3DiYmZnB1NQU48ePh4uLi/wqVxUrVkSbNm0waNAgrFu3DgAwePBgdOjQIU9XtAKYeBARERERFUh+fn5o2rSp/Pm7sSH9+vXDli1bvmgZy5Ytg5aWFnr06IHk5GQ0b94cW7ZsgaamprzNzp07MXr0aPnVrzp16vTZe4fkRiKTyWR5flU+Z9bPR+wQRBHq3UvsEERR+D7BXyaP47mogMvILJofdI2CcdJR5TSK6Bc8q4ju0Ivq9tbLx6e/i7VbIdrfTj76q2h/W2j5eJMTEREREYmgiCaDQiuUiUdRPfNvUnOk2CGIIsY376W+woBnBosWnvmnoqCI7tYAfsypiCiUiQcRERER0VcrIIPLCxq+q0REREREJDgmHkREREREJDh2tSIiIiIiUsSuVoLgu0pERERERIJjxYOIiIiISBGvqCcIVjyIiIiIiEhwTDyIiIiIiEhw7GpFRERERKSIg8sFwXeViIiIiIgEx4oHEREREZEiDi4XBCseREREREQkOFY8iIiIiIgUcYyHIPiuEhERERGR4Jh4EBERERGR4NjVioiIiIhIEQeXC4IVDyIiIiIiEhwrHkRERERECiSseAiCFQ8iIiIiIhIcEw8iIiIiIhIcu1oRERERESlgVythsOJBRERERESCY8WDiIiIiEgRCx6CYMWDiIiIiIgEx4oHEREREZECjvEQBhMPFdrjsxNbNnsjMiICZR2dMHHyFFR3qyF2WF+kfvWyGNO3BapXsoONhRQ9xqzHn+fvyOevn/UT+nSqo/Sa63eeonG/JfLnK6f2RLPa5WFjIUVCciqu3n6KaSv+wMNnr+Rt9i0fAtdyJWBhaoSY+CScu/YA037/A2ERccKvpIqsWbUSa1d7KU0zMzPH2Yv/ihSRMPz9fLFtszcCA+8hMiICS1d4oWnzFgCA9PR0rF65Apf+uYCQkBAYGhqidp16GD1mLCwtrUSOXLX8/XyxZZM3ggIDEBERgWW/r0Kzt+9DYfKp7Q0Aa1etxInjRxEeHg5tbW1UrFQZI0e7w6WKq4hRC6cg78+/hveGdThz6iSePn0CXT09VK1aDe5jx8OhdBmxQ1OZTRvX4ezpU3j2dh1dXath9JhxSusYFRmJ35f9D1eu/IuEN29Qza0GJnlMg529g3iBC6CoHMco/2FXKxU5fuwoFi3wxKDBw7Bn/2FUr+6G4UMGIezlS7FD+yIGxXRx92EoxizY+9E2J/69B4cWHvJHl1FrlObfDHqBwTN3oGq3ueg0fBUkEgn+Wj0CGhrvzxpc9H2InyZtgmvX2eg9YSPKlDLHrsUDBFsvoZR1dMKZ85fkj/2H/xQ7JJVLTk5GufIVMHnKbznmpaSkICgwEIOGDIfP3gNYsnwlgp8/g/vI4SJEKqzk5CSUL18ek6dOFzsUQX1qewOAvYMDJk35DfsOHsHmbTtha1sCwwcPQHR0tJojFV5B359/DT/f6/ih14/Y7rMX6zZsRkZmJoYOGoCkpCSxQ1MZfz9f9OjZG1t37sGa9ZuQkZmB4UMGIvntOspkMoz9dQRCQkKw7PfV2LX3IGxsbDF00C/yNoVJUTiOUf7DioeKbN+6GV27d0e3774HAEz0mIrLly9h7x4f/DpmnMjRfd7JfwNx8t/AT7ZJS8vAq6g3H52/6eD7MyXBYdGYtepP+O6dAntbMzwNiQQArNx5TqFNDP63+RT2Lh0ELS0NZGRkfeNaqI+WpibMLSzEDkNQDRo2QoOGjXKdZ2RkhLUbNylNm+QxDT/1+h5hYS9hY2OrjhDVokHDxmjQsLHYYQjuU9sbANq276j0fNzEyTh8cD8ePXyA2nXqCh2eWhX0/fnXWLPeW+n57LmeaNqwLoIC78GtRk2RolKtVWs3Kj2fNccTzRvXQ+DbdQx+/gx379zGvkN/oqyjEwDAY9oMtGhcD8eP/Y2u3b8XI2zBFIXj2LdgVythsOKhAulpaQgKvIe69RooTa9brz5u37opUlSq17CGE56f8cSdw9Ox6rdesDAx/GhbfT0d9O1UB09DIhESHpNrG5Pi+ujZtgau3n5aoJIOAHge/BwtmjRA21bNMHH8GIS8eCF2SKJ7k/AGEokERkbFxQ6FBJaenoaD+/bA0MgI5cpXEDsclSoq+/PPSXiTfZKpuFQqciTCeZOQvY7St+uYlpYGANDR1ZW30dTUhLa2Dm7d8Fd/gALjcYzEkK8rHi9evMCMGTOwadOmj7ZJTU1Famqq0jSZpi50FXYcQouJjUFmZibMzMyUppuZmSMyMkJtcQjp5L+BOHjqJoLDouFQwgzTh3fAsfWjUa/3IqSlZ8jbDf6+Iea5d4Ghvi7uPwlH+2FeSM/IVFrW3NGdMbRnIxgU08W1O0/RbfRada/ON3GpUgXz5i+EvYMDoqKisGHdGvT9sScOHvkLxsYmYocnitTUVPy+bAnatusAQ8OPJ6RUsF08fw6TJ4xDSkoyzC0ssHb9JpiYFK7PfFHYn3+OTCbD/xZ5olp1Nzg5lRM7HEHIZDIsXbwAVau7wfHtOjqULgMbW1t4LV+KqdNnoZh+MezYugWRkRGIKGTbnsexz2PFQxj5uuIRHR2NrVu3frKNp6cnpFKp0mPxQk81Rajsww+pTCYrNB/c/Sdv4Pilewj8LwxHLwagy8jVcLK3RNuGlZXa7T7mizq9FqDFgGV4/CICOxb+Al0d5fx22bbTqNNzIdoP9UJmZhY2zumjzlX5Zg0aNkaLVq3hVK486tSth5Wr1wEAjhw+LG5gIklPT8fkCWMhk8ng8dsMscMhAdWsVRu7DxzClh0+qFe/ISaOd0d0VJTYYQmiMO/PP8dz7mw8evgQCxcvFTsUwSyYNwePHj6A58L3F0jR1tbG4qW/4/nzZ2jSoDbq1awGP7/rqN+gETQ1NEWMVvV4HCOxiFrxOHLkyCfnP3ny5LPL8PDwwNixY5WmyTTVV+0AABNjE2hqaiIyMlJpenR0FMzMzNUai7qER8YjOCwajnbK/UPjE1IQn5CC/4IjcP3OM4RdXITOzVyx9/j7MnVUbCKiYhPxOPg1HjwNx+MTc1G7Smlcu/NU3auhEvr6+nAqVw7Bwc/EDkXt0tPTMWncGISGhGD9pi2sdhRyxfT1YWdnDzs7e1RxrYpO7Vrj0MH9GDBoiNihqUxR3J8r8pw3B+fPn8WmrTtgZW0tdjiCWDh/Di6eP4uNW3KuY6XKzti9/zDevHmDjPR0mJiaom/vHqhYyVmkaNWjKB/HSL1ETTy6dOkCiUQCmUz20TafO8Okq5uzW1VKxkcaC0RbRwcVK1XG1cv/onmLlvLpVy9fRpNmzdUbjJqYSg1Q0soEYZHxn2wngQQ62h//mL3bvJ9qk9+lpaXhyZP/UK26m9ihqNW7pCM4+DnWb9rK8nxRJJMh/W2/+MKiKO7PgeyKjue8OTh75hS8t2xHyZKlxA5J5WQyGRbOn4NzZ09jw6ZtKFGy5EfbGhkZAQCCnz9D4L0ADBs5Wl1hiqKoHsc+pahUONVN1F97NjY2WLVqFbp06ZLr/Fu3bsHNrWB8Cfr0+xlTJ09EJWdnuLpWw4F9exAWFobvf+gpdmhfxKCYDsqWel+9cChhhirlSiAmPgnRcYmYNrQ9Dp+5hbCIONjbmmH2qI6Iik3AkbO35e2/a+2GM1eCEBmTAFtLY4zr3wLJqek4cekeAKBGZXvUcLbH5Zv/IfZNEhxKmGP6sPb4LziiQFU7lixeiMZNmsLaxgbR0dHYsHYNEhMS0KlLV7FDU6mkpES8CA6WPw8NDcGD+0EoLpXCwsISE8b+ivuBgVixai2ysjLl/d+lUim0tXXEClvlkhITEaz4PoSE4H5QEKRSKWxsC8/Vuz61vY2lxti4fi0aN20GcwsLxMXGYu9uH7x6FY6WrduIGLUwCvr+/GvMnzMLx47+heUrV8NA3wCREdnfZ0MjI+jp6YkcnWosmDcbx47+hWUrVkHfwEC+zzI0fL+Op04ch4mpCaytbfH40UMsXjgPTZo1z3GxgYKuqBzHKP8RNfFwc3PDjRs3Ppp4fK4akp+0adsOcbExWL9mNSIiXsPRqRxWrV0PW9sSYof2RapXssfJjb/Kny8a3x0AsP3IVYyevweVHW3Ru0MtGBsVQ3hkPC74PkSfSZuQkJQ9sD81LQP1q5XFyN5NYFJcH6+j3uDSjcdo2n8JImISAADJqeno3MwV04a2h0ExHYRHxuHk5SD0nbxZaYB6fvfqVTgmTxiLmJhYmJiaoEqVqti+a2+B2dZfKjAgAIN+6Sd/vmTRAgBAx85dMHT4SFw4dxYA0PO7Lkqv27BpK2rUqq22OIV2714ABv7cV/78f4uyx5B16twVc+YvECsslfvU9p46fRaePX2KP4+MRmxMDKTGxqjs7IJNW3fKLztamBT0/fnX2LvHBwAwoL/ymLvZcz3RuWs3MUJSuX1v13HQL32Vps+cMx+dumSvY2TkayxdvABRUVEwt7BAh46dMWjoMLXHKrSichz7Jix4CEIiE/GX/T///IPExES0aZP7GbPExET4+fmhceO8XUNf3V2t8guTmiPFDkEUMb5en29UCGUVkKRc1TSKaPmb25uKgsysovk519Qomp9zvXzcy1rae7tofztuV8G66E5eiLrJGzZs+Mn5BgYGeU46iIiIiIi+Bcd4CCNfX06XiIiIiIgKByYeREREREQkuHzcu46IiIiISP3Y1UoYrHgQEREREZHgWPEgIiIiIlLAiocwWPEgIiIiIiLBMfEgIiIiIiLBsasVEREREZECdrUSBiseREREREQkOFY8iIiIiIgUseAhCFY8iIiIiIhIcKx4EBEREREp4BgPYbDiQUREREREgmPiQUREREREgmNXKyIiIiIiBexqJQxWPIiIiIiISHCseBARERERKWDFQxiseBARERERkeCYeBARERERkeDY1YqIiIiISBF7WgmCFQ8iIiIiIhIcKx5ERERERAo4uFwYrHgQEREREZHgWPEgIiIiIlLAiocwCmXikSWTiR2CKF5d+V3sEEThOvWE2CGIwndWS7FDEIVGET0WaBbRFU/PzBI7BFFoaRTNDgkZmUXz+F1Uv99U9BTNPRsREREREalVoax4EBERERF9LXa1EgYrHkREREREJDhWPIiIiIiIFLDiIQxWPIiIiIiISHBMPIiIiIiISHBMPIiIiIiIFElEfOTBxYsX0bFjR9ja2kIikeDw4cPyeenp6Zg0aRJcXFxgYGAAW1tb9O3bFy9fvlRaRmpqKkaNGgVzc3MYGBigU6dOCAkJUWoTExODPn36QCqVQiqVok+fPoiNjc1bsGDiQURERERUICUmJsLV1RVeXl455iUlJeHGjRv47bffcOPGDRw8eBAPHz5Ep06dlNq5u7vj0KFD2L17Ny5duoSEhAR06NABmZmZ8ja9e/fGrVu3cPz4cRw/fhy3bt1Cnz598hwvB5cTERERESkoKIPL27Zti7Zt2+Y6TyqV4tSpU0rTVq5ciVq1aiE4OBh2dnaIi4uDt7c3tm/fjhYtWgAAduzYgVKlSuH06dNo3bo1goKCcPz4cVy9ehW1a9cGAGzYsAF169bFgwcPUL58+S+OlxUPIiIiIqJ8IjU1FfHx8UqP1NRUlSw7Li4OEokExsbGAAB/f3+kp6ejVatW8ja2trZwdnbG5cuXAQBXrlyBVCqVJx0AUKdOHUilUnmbL8XEg4iIiIhIgUQiEe3h6ekpH0vx7uHp6fnN65SSkoLJkyejd+/eKF68OAAgPDwcOjo6MDExUWprZWWF8PBweRtLS8scy7O0tJS3+VLsakVERERElE94eHhg7NixStN0dXW/aZnp6eno2bMnsrKysHr16s+2l8lkSt3Ncut69mGbL8HEg4iIiIgon9DV1f3mRENReno6evTogadPn+Ls2bPyagcAWFtbIy0tDTExMUpVj9evX6NevXryNq9evcqx3IiICFhZWeUpFna1IiIiIiJSIGZXK1V6l3Q8evQIp0+fhpmZmdJ8Nzc3aGtrKw1CDwsLQ0BAgDzxqFu3LuLi4nD9+nV5m2vXriEuLk7e5kux4kFEREREVAAlJCTg8ePH8udPnz7FrVu3YGpqCltbW3z33Xe4ceMG/vrrL2RmZsrHZJiamkJHRwdSqRQDBgzAuHHjYGZmBlNTU4wfPx4uLi7yq1xVrFgRbdq0waBBg7Bu3ToAwODBg9GhQ4c8XdEKYOJBRERERKSsYFxNF35+fmjatKn8+buxIf369cPMmTNx5MgRAEDVqlWVXnfu3Dk0adIEALBs2TJoaWmhR48eSE5ORvPmzbFlyxZoamrK2+/cuROjR4+WX/2qU6dOud475HMkMplMludX5XNJ6YVulb5IRmbRXO+aM059vlEh5DurpdghiEKjgFxbXdU0NYrmemdkZYkdgii0NIpmT+i0jKK5vXW1i+b21svHp79LjfxDtL/9wquzaH9baEXzk05ERERERGqVj3NNIiIiIiL1Kyh3Li9oWPEgIiIiIiLBseJBRERERKSAFQ9hsOJBRERERESCY+JBRERERESCY1crIiIiIiIF7GolDCYeX8HfzxfbNnsjMPAeIiMisHSFF5o2byGfv3bVSpw4fhTh4eHQ1tZGxUqVMXK0O1yquIoY9bdZv8YLG9auUppmamaOE2f/AQCcPX0Sh/bvRVDQPcTFxmLHnoMoX6GiGKHmSY3SJhjQyAHOJYvDsrgehm+9iTOBr+XzW1a2xA91SsG5RHGYGOig8/LLuB/2RmkZPWqVRIeqNqhcojgM9bRQY8YZvEnJkM+vVcYE24fUyvXvf7fyCu6GxAuzct/gc9tbJpNhw9pVOHRgL97Ex6OySxVM9PgNZR2dxAhXZfbt8cH+vT4IexkKAChT1hGDhoxA/YaNcrSdN3s6Du7fi3ETPNC7Tz91h6py/n6+2LrZG0GBAYiIiMDSFavQTGG/dubUSezftwdBgQGIjY3F7v2HUaEAfMc/Zf8eH+zfu1tpew8cMly+vWtUyX39Ro8Zj74/D1BbnOqQkZGBtatX4ujffyIqMhLmFhbo1LkrBg0ZDo1Cck+R9Wu8sHFdzv3a8TP/5GjrOWcGDh3YizHjJ6PXTwX/+/2hNatWYu1q5Zu/mZmZ4+zFf0WKiIoKJh5fITk5GeXKV0CnLt0wfszoHPPtHRwwacpvKFmyFFJTU7Bj21YMHzwAfxw9CVNTUxEiVo0yZR2xav0m+XNNjfd3tExJTkaVqtXQvFVrzJs1XYzwvoq+jiYehL3BQb9QePWtluv8m89icfxOOOZ955zrMorpaOKfh5H452Ekxrctl2P+zeexqD/nnNK0X1s7oZ6jab5MOt751Pbetnkjdm3fgumz58PO3gGbNqzFyKEDsP+PYzAwMBAjXJWwsrLCKPdxKFXKDgDw15HDGPvrCOzae1ApqTp39jQC7t6BhaWlWKGqXHJyEsqVL4/OXbph3JhRuc6vWq0aWrZqg9kzp4kQoepZWlljpPtYhe39B8b9OhI79x5AWUcnHD97Uan95Uv/YM6MaWjWspUY4Qpqs/cG7N+7G7PnLURZR0cE3gvAjGkeMDQ0wo+FILF+p0xZR3ity32/9s75d99vi8Lz/c5NWUcnrN+4Wf5cQzPne1GUseIhDCYeX6FBw0ZokMsZ0Hfatu+o9HzcxMk4fHA/Hj18gNp16godnmA0tbRgbm6R67x2HbPvsvkyNFSdIX2ziw8icfFB5Efn/3EzDABQwkTvo222XnoOILuykZv0TBkiE9Lkz7U0JGhW0QI7rwR/Tchq87HtLZPJ4LNzG34eOATNWmT/AJs5dwFaN2uAE0f/Qrfvf1B3qCrTqEkzpecjRo/B/r27cffObXni8frVKyyaPwdeazfi15FDxAhTEA0aNkaDho0/Or9Dpy4AgNDQEDVFJLxGTZoqPR8x2h0HFLb3h5//C+fOokbN2ihZspQ6w1SLO7dvoUnT5mjUuAkAoESJkjh+9G8E3gsQNzAV09T8+HEMyP5+/2/BXKxYvQFjRw1VY2Tqp6WpCXOLj78XREIoHPXTfCw9PQ0H9+2BoZERypWvIHY43+TF8+do26IROrdtgSkTxyIk5IXYIRVIzSpZwsRABwf9Xoodyid9bHuHhoYgKjISderWl7fV0dFBdbeauHP7pljhqlxmZiZOHPsbyclJqOJaFQCQlZWF36ZMRJ/+Awp8tzJSltv2VhQVFYlL/1xA567d1R+cGlSr7oZr167i+bOnAIAH9+/j5g1/NGj08WS0IHoR/BztWjZC53YtMHXSWIQqHMeysrIwY9ok/NTvlyLx/X4e/BwtmjRA21bNMHH8GIS84DFdiUTERyHGiodALp4/h8kTxiElJRnmFhZYu34TTExyPyNeEFR2qYJZ8xbAzt4BUVGR2LRhLQb07Y09B4/A2LjgrpcYvqtZApceRiI8LkXsUD7qU9s7KjK7QmRqZq70GlMzM4S/zN/J1Jd49PABfu7TC2lpqSimr4//LfdCmbKOAIAtmzZAU0sTvX7sI3KUpCqPHz5U2t6Ll6+Ub29Ff/1xGAb6BmjaoqUIUQrv5wGDkPDmDbp0bAtNTU1kZmZi5OgxaNuug9ihqYyzSxXMnJu9X4t+t1/r1xu7D2Qfx7Zt3ggtTU380Lvwf79dqlTBvPkLYe/ggKioKGxYtwZ9f+yJg0f+4jGdBCV64pGcnAx/f3+YmpqiUqVKSvNSUlKwd+9e9O3b96OvT01NRWpqqtK0TA0d6OrqChLvl6pZqzZ2HziE2JgYHNy/DxPHu2P7rr0wNTMTNa6vVb/B+65ljk7lUKVKVXTp0Bp/H/kDP/btL15gBYyVVBcNypnDfedtsUP5pE9tb+e3F0n4sPurTCbLObEAcihdGj77DuHNm3icOX0SM6ZNxoZN25GamoLdO7dj554D7PtbiNiXdsCufQfx5s0bnD19EjOneWD9pm05ko8jhw+iTfsOoh9bhHLi2FH8/dcReC5cgrKOjnhwPwiLF3rCwtISnTp3FTs8lainsF+DUzm4uFZF1w6t8feff6C6W03s3rUd232KxvdbsVulE4AqrlXRoU1LHDl8GH37/yxeYFToidrV6uHDh6hYsSIaNWoEFxcXNGnSBGFhYfL5cXFx+PnnT38BPD09IZVKlR7/W+gpdOifVUxfH3Z29qjiWhUz58yDpqYWDh3cL3ZYKlNMXx+OTk54EfxM7FAKlO41SiA2KQ1nFa6cVRAobm8z8+xKx7vKxzsx0dEwK6CJtSJtbR2UsrNHpcouGPXrOJQrVwE+O7fhpr8/oqOj0L51M9SqVhm1qlVG2MuXWLZkITq0afb5BVO+9H57O2Pkr2NRrlx5+OzcrtTmpr8fnj97ii7dvhMpSuEtW7IIPw8cjDbt2sOpXHl06NQFP/Xth00b14kdmmCKFdOHo2P2fu3WDT/EREehU9tmqOvmjLpuzggLe4kVSxehc9vmYocqOH19fTiVK4dgHtPlJBKJaI/CTNSKx6RJk+Di4gI/Pz/ExsZi7NixqF+/Ps6fPw87O7svWoaHhwfGjh2rNC1TQ0eIcL+NTIb0tLTPtysg0tLS8OzJE1St5iZ2KAVKN7cSOHzjJTKyZGKHkieK27tEiZIwMzfHtauXUb5idpUyPT0NN/x9MerXcSJHqnoymQxpaWlo17ETan1wcYiRwwaiXYfOheaMMAEyGXLsq/84dAAVK1Uu8OP0PiUlJQUaH/zg0dDQRFYB21flRVpaGp49fYKq1d3QtkPO7/foYYPQtkMndOzcTaQI1SctLQ1PnvyHatV5TCdhiZp4XL58GadPn4a5uTnMzc1x5MgRjBgxAg0bNsS5c+e+6LKcurq6OUrfSenC7iiTkhLxIvj9FYlCQ0Pw4H4QikulMJYaY+P6tWjctBnMLSwQFxuLvbt98OpVOFq2biNoXEJavmQRGjZuAmtrW8RER8F7w1okJibIr3QTFxeL8LAwREZkn8l/N0DRzNz8k1cQEZu+jibszPTlz0uaFkMFGyPEJacjLDYF0mLasDHWg2Xx7M9YaYvsz2Tkm1T5larMDXVgbqQrX045a0MkpmYiLDYFccnp8mXXKWuKUmb62O+b/6/89antLZFI0OvHvtjsvR6l7OxRys4eW7zXQ09PD60LeH9wrxVLUb9BI1hZWyMxMREnjx+Fv991rFyzAcbGJjn6PmtpacHczBwOpcuIFLHqJCUlIviD/dr9+0GQSqWwsbFFXFwswsLCEPH67Xf8afZ33Dyff8c/ZdWKZajXoCGsrG2QlJiIE2+39+9r1svbJCQk4PTJE3AfP1HESIXXqElTbNywFtY2ttldrYKCsGPb5kI1mH7F0kVo2KgJrGyy92ub3u7X2nfs8tHvt5mZOewdSosUsXCWLF6Ixk2awtrGBtHR0diwdg0SExLQqQtPorxT2CsPYhE18UhOToaWlnIIq1atgoaGBho3boxdu3aJFNmnBQYEYNAv769rvmTRAgBAx85dMHX6LDx7+hR/HhmN2JgYSI2NUdnZBZu27izQV8l4/Soc0yaPR2xMLExMTOBcxRWbtu+GjW0JANmD6WdPnyJvP3VS9pnvQUNHYPCwkaLE/CWcSxZXurnflI7ZZzQP+oXCY18AmlWywIIeLvL5y3/MHt+w8tRjeJ3+DwDQs04pjGr5vj/4rmG1AQCT997FIf/3g62/q1kSN57F4MnrROFWSEU+t737/jwQqampWDh/tvwGgivXbCzQ9/AAgOjoKPw2dSIiIyJgaGgEp3LlsXLNBqUreBVW9wICMOiX9+PplizK7rLasXNXzJm3AOfPncWMaR7y+ZMmjAEADBk2EsNG5LzvR0EQFR2J6VMnKWzvcvh9zXql7X3y+FHIIEObtu1FjFR4k6dMw6qVK+A5dxaio6NgYWGJ7t//gCHDRogdmsq8fhWOaR7K+zXvbe/3a0XJq1fhmDxhLGJiYmFiaoIqVapi+669sC2C7wWpl0Qmk4lWR61VqxZGjRqFPn1yXkFi5MiR2LlzJ+Lj45GZmZmn5Qpd8civMjKL5nrXnHFK7BBE4TurcF5d53M+7A5SVGhqFM31zsjKEjsEUWgVkruF51VaRtHc3rraRXN764l+iaOPKzvumGh/+78lbUX720IT9ZPetWtX+Pj45DrPy8sLvXr1goh5EREREREVQRKJeI/CTNTEw8PDA0ePHv3o/NWrVyOriJ7tIiIiIiIqTPJxkYuIiIiISP04uFwYRbNTIRERERERqRUrHkRERERECljwEAYrHkREREREJDgmHkREREREJDh2tSIiIiIiUsDB5cJgxYOIiIiIiATHigcRERERkQIWPITBigcREREREQmOiQcREREREQmOXa2IiIiIiBRoaLCvlRBY8SAiIiIiIsGx4kFEREREpICDy4XBigcREREREQmOFQ8iIiIiIgW8gaAwWPEgIiIiIiLBMfEgIiIiIiLBsasVEREREZEC9rQSBiseREREREQkOFY8iIiIiIgUcHC5MFjxICIiIiIiwTHxICIiIiIiwbGrFRERERGRAna1EgYrHkREREREJLhCWfHQKKJZqlYRTSP9ZrcUOwRRVHD/Q+wQRPH4965ihyCK9MwssUMQhbZm0dyxZWbJxA5BFBpF8/CNjMyiub2hlX83eBH9KSm4orlHJyIiIiIitSqUFQ8iIiIioq/FMR7CYMWDiIiIiIgEx8SDiIiIiIgEx65WREREREQK2NNKGKx4EBERERGR4FjxICIiIiJSwMHlwmDFg4iIiIiIBMfEg4iIiIiIBMeuVkRERERECtjTShiseBARERERkeBY8SAiIiIiUsDB5cJgxYOIiIiIiATHigcRERERkQIWPITBigcREREREQmOiQcREREREQmOXa2IiIiIiBRwcLkwWPEgIiIiIiLBseJBRERERKSABQ9hsOJBRERERESCY+JBRERERESCY1crIiIiIiIFHFwuDFY8iIiIiIhIcKx4EBEREREpYMFDGKx4qIC/ny9GDR+KFk0awLVyeZw9c1rskFTOe+M6/NjzO9SvXR3NGtfDmNEj8OzpE6U2Z06fxPAhA9C0YR1Uc6mAB/eDRIpWdfbv8UHP7p3RuG4NNK5bAz//1BP//nNRPj8pKREL589BuxZNUL9mVXzXuT327/ERMeIvU9vRDFuG1YG/ZxuErumK1q428nlaGhJM6VIZp6c1w6PlHeHv2QYr+rnBSqqntAwdLQ3M6VEFdxe3w6PlHbF5WB3YGCu32TysDq7Pa43/fu+EGwva4vf+OZdTECQmJmDRgnlo27IpartVQd8feyLg7h2xw1KZ9Wu8UNO1otKjdbOGAICM9HSsXPY/9OzeCQ1rV0fbFo0wY+okRLx+LXLUwnn16hWmTBqPxvVro04NV/To3hmB9wLEDktl9u3xwQ/dO6FRXTc0quuG/j/9oLRfk8lkWLd6JVo3b4h6NV0x+Jc++O/xIxEjFsZm7/Wo4VoRSxbNB5D9Wf992f/wQ/dOaFC7Otq0aITpheCz/rntffb0SYwYOgDNGtWBW5XCcewuSi5evIiOHTvC1tYWEokEhw8fVpovk8kwc+ZM2NraolixYmjSpAnu3bun1CY1NRWjRo2Cubk5DAwM0KlTJ4SEhCi1iYmJQZ8+fSCVSiGVStGnTx/ExsbmOV4mHiqQnJyE8uXLY/LU6WKHIpgbfr74oWdvbNu5B2vWb0JmZgaGDRmI5KQkeZvk5GS4Vq2OUe7jRIxUtSytrDHSfSy2+ezDNp99qFGrDsb9OlJ+EF66aAGu/HsJsz0XYd/hv9G7Tz8sXjAP58+dETnyT9PX1UJgaBym7cn547mYjiZc7Iyx4ugDtPE8h0Hrr6GMlSE2D6uj1G7W9y5oW9UWw7190eV/F2Ggq4Wtw+tCQ+Es0eUHERi68ToazTyFweuvwd7cAOsH1RJ69VRu1vRpuHrlMuZ6LsK+Q3+ibr36GDroZ7x69Urs0FSmTFlHHDtzUf7Yvf8PAEBKSgru3w/EgMHDsH3PASxa+juCnz/DuF+HixyxMOLj4tC/Ty9oaWvDa+0GHPjjb4ybMBlGRsXFDk1lrKysMMp9HLb77Md2n/2oWasOxv46Qr5f27p5I3Zu34JJHr9h2659MDO3wPAhvyAxMUHkyFXnXsBdHNq/F07lysunvfusDxw8DDv2HMDit5/1sQX8s/657S0/dv9aeI7dqiCRSER75EViYiJcXV3h5eWV6/xFixZh6dKl8PLygq+vL6ytrdGyZUu8efNG3sbd3R2HDh3C7t27cenSJSQkJKBDhw7IzMyUt+nduzdu3bqF48eP4/jx47h16xb69OmT9/dVJpPJ8vyqfC4lQ7y/7Vq5PJb9vgrNmrdQ+9/OylLfpoyOjkbzxvWwcfN2uNWoqTTvZWgI2rdpgd37DqF8hYqCx5Kp5o9wswZ1MHrseHTp9h16dO2IVm3aYuCQ9wemn37ojvoNG2HYyF8FjaOC+x8qWU7omq74Ze1VnLgd9tE2rvbGODq5KWpOOY6XMckw0tPCncXt8esWPxzxDwUAWEn14Du/Dfp4XcaFoNzPELasYo1NQ+qg9Kg/kPGVn9fHv3f9qtd9rZSUFNSvXR3Lfl+NRo2byKf36N4ZjRo3wcjRY9QSR3pmlmDLXr/GC+fPncGuvYe+qP29gLvo/2MP/Hn8DKxtbAWLCwC0NdV7fmzFsv/h1s0b2Lxtl1r/7ocy1bg/B4CmDWrj17ET0Llrd7Ru3gi9f+qL/r8MAgCkpaWhZdP6GO0+Dt2/7yloHOr4SZKUlIiffuiOSVOnw3vDWpQvXwHjJk7Jte29gLvo92MP/CXwZ13dA5nfbe8u3b6TT3sZGoKObVtg1171HLsBwFA3//Znqr/4H9H+9r8TGn7V6yQSCQ4dOoQuXboAyP4+2drawt3dHZMmTQKQXd2wsrLCwoULMWTIEMTFxcHCwgLbt2/HDz/8AAB4+fIlSpUqhaNHj6J169YICgpCpUqVcPXqVdSuXRsAcPXqVdStWxf3799H+fLlc40nN6x40FdJSMjOlKVSqciRqE9mZiZOHPsbyclJqOJaFQBQtbobLp4/h9evXkEmk8Hv+jUEP3+GuvUaiBusihUvpo2sLBnik9MBAFXsjaGjpaGUYLyKS8GDl/GoUdY012UY62ujW81S8HsS/dVJhxgyMzOQmZkJXV1dpel6enq4eeOGSFGp3ovnz9G2RSN0btsCUyaORUjIi4+2TUh4A4lEAsNCVAV458K5s6hU2Rnjx45G00Z18cN3XXBg/16xwxLMh/u10NAQREVGoE7d+vI2Ojo6cHOridu3booYqeosnD8H9Rs1Ru069T7btrB91nM7jlH+k5qaivj4eKVHampqnpfz9OlThIeHo1WrVvJpurq6aNy4MS5fvgwA8Pf3R3p6ulIbW1tbODs7y9tcuXIFUqlUnnQAQJ06dSCVSuVtvpTog8uDgoLkWVOFChVw//59rFixAqmpqfjpp5/QrFmzT74+NTU1x8aQaerm+JFAqiOTybBk8QJUq+4GR6dyYocjuMcPH+LnPr2QlpaKYvr6WLx8JcqUdQQATJg8BXNnTke7lk2gqaUFDYkE02bOQdXqbiJHrTq6Whrw6FIZh3xfIOFtOdGiuB5S0zMRl5Su1DYiPgWWxZXHcEzpUhk/NykDfV0t+D+JRr/VV9QWuyoYGBiiims1rF+7GqXLlIGZmTmOH/0Ld+/chp29vdjhqURllyqYNW8B7OwdEBUViU0b1mJA397Yc/AIjI1NlNqmpqZi1YqlaN22AwwNDUWKWDghIS+wb48Pfur7MwYOGoqAu3ewyHMudLR10LFzF7HDU5lHDx8o7df+t9wLZco64vat7GTazMxMqb2pmRnCwl6KEapKnTj2N+4HBWLbrn2fbZuamgqvFUvRphB81j+2venjxBxc7unpiVmzZilNmzFjBmbOnJmn5YSHhwPI7m6nyMrKCs+fP5e30dHRgYmJSY42714fHh4OS0vLHMu3tLSUt/lSolY8jh8/jqpVq2L8+PGoVq0ajh8/jkaNGuHx48cIDg5G69atcfbs2U8uw9PTUz7Q5d1j8UJPNa1B0bRg3hw8evgAnguXiB2KWtiXdsCufQexecdufNejJ2ZO88CT/x4DAHbv3IG7d25j6e+rsWP3friPn4SF82bj2tW8nQHIr7Q0JFg9oCY0JBJM2X37s+0lEgk+7Cmx5tQjtJ5/Dj1XXEJmlgwr+hW8pGye5yIAMrRq1gi1qrtg187taNuuAzQ1NMUOTSXqN2iEZi1awdGpHGrXqYflK9cCAP4+otydLyM9HVMnjUNWVhYmFdIxbVlZMlSoWBmj3ceiQsVK+K5HT3Tr3gP79ub/i0bkhUPp0vDZdwhb3u7XZkybLN+vAcjxq0smAyTIv91ivkR4eBiWLPLEnPmLPntyMiM9HVMK0Wf9s9ub8hUPDw/ExcUpPTw8PL56eR925ZPJZJ/t3vdhm9zaf8lyPiRqxWP27NmYMGEC5s6di927d6N3794YNmwY5s2bBwCYOnUqFixY8Mmqh4eHB8aOHas0TabJaodQFsyfgwvnz8J7yw5YWVuLHY5aaGvroJRd9pntSpWdERhwFz47t2PcRA+s+n05/rf8dzRo1AQA4FSuPB7eD8KOLZu/qIyfn2lpSLB2UC3YmRugx/JL8moHkF3Z0NXWhFRfW6nqYW6kC78nUUrLiUlMQ0xiGp68TsDj8Dfw82wLt9Km8H8arbZ1+Val7OzgvWUHkpOSkJCYAAsLS0wc5w7bEiXFDk0QxfT14ejkhBfBz+TTMtLT4TFhDF6GhmD1hs0F/gzwx1hYWKBs2bJK00qXKYPTp0+IFJEwlPdrLggMCIDPzm3o93ZcR1RkJCws3p/hjImOgukHVZCC5n7gPURHR6FPr/fjGjIzM3HT3w97d+/CZd/b0NTUREZ6Oia//ayvKSSf9Y9t76nTZ4scWf4l5g0EdXVV03PH+u3vtPDwcNjYvL965evXr+VVEGtra6SlpSEmJkap6vH69WvUq1dP3ia3i6lERETkqKZ8jqgVj3v37qF///4AgB49euDNmzfo3r27fH6vXr1w586nL1mpq6uL4sWLKz3YzUr1ZDIZFsybjbNnTmGd9xaUKFk4f3B9CZkMSE9LQ0ZGBjIy0iGRKH+NNDQ1kSUTbiCwOrxLOkpbGuKHFZcQk5imNP/O81ikZWShUYX3P0wsi+uivG1x+P338YTi3Y5cR6tgDi8rpq8PCwtLxMfF4fLlS2jSrLnYIQkiLS0Nz548gZm5BYD3SUdw8HOsWrcpR/erwsS1WnU8e/ZUadrz589gY1NCpIjUQyaTIS0tDSVKlISZuQWuXXlftU1PT4O/vy9cq1YTMcJvV7N2Xeze/wd27jkof1Sq7Iw27Tpg556DSklHcPBzrC7En/V325sKt9KlS8Pa2hqnTp2ST0tLS8OFCxfkSYWbmxu0tbWV2oSFhSEgIEDepm7duoiLi8P169flba5du4a4uDh5my8l+hiPdzQ0NKCnpwdjY2P5NCMjI8TFxYkX1BdKSkxEcHCw/HloSAjuBwVBKpXCxlbYK76oi+e82Th29C8sW7EKBgYGiIyMAAAYGhpBTy+7T39cXCzCw8Lw+u01z98dvM3MzWH+9gdMQbNqxTLUa9AQVtY2SEpMxInjR+Hvdx2/r1kPQ0NDVK9REyuWLoaunh5sbGxxw98XR//8A2PGTxI79E/S19VEaYv3Z/HszPRRuaQUMYlpeBWXgvWDa8OllBT9Vl+BpoYEFsWzk/nYxDSkZ8rwJiUDuy8/w/TuzvKKxvTuzrgfGod/7mdv/6r2JqjqYALf/6IQm5QGe3MDjO9YEU9fJxSoagcAXP73H8hkMjg4lEZwcDCWLVkEB4fS6Nylm9ihqcTyJYvQsHETWFvbIiY6Ct4b1iIxMQEdOnVBRkYGJo13x/2gQCxbuQaZWZny779UKoW2to7I0avWT336oX+fXti4fi1atWmLgLt3cGD/Xvw2o/CcGfZasRT1GzSClbU1EhMTcfLtfm3lmg2QSCTo/VNfbPJeh1L29rCzs8emjeugp6eHNu06iB36NzEwMMgxLlGvWDEYGxvD0akcMjIyMHG8Ox4Uss/6p7Y38P7YHRGRve9+XgiO3UVJQkICHj9+323u6dOnuHXrFkxNTWFnZwd3d3fMnz8fTk5OcHJywvz586Gvr4/evXsDyP5sDxgwAOPGjYOZmRlMTU0xfvx4uLi4oEWL7Cu0VqxYEW3atMGgQYOwbt06AMDgwYPRoUOHPF3RChD5crqurq5YuHAh2rRpAwAICAhAhQoVoKWVnQ9dunQJffv2xZMnTz61mBzUfTld3+vXMPDnvjmmd+rcFXPmL1BbHEJeTreaS4Vcp8+aMx+d3v74OnL4IGb8lvOShEOGjcDQ4aMEi03Iy+nOnjEVvteuIjIiAoaGRnAqVw59fxkov+JLZGQEVq1YhqtX/kV8XBysbWzR9bse+LFPP8HLtN9yOd26TubYPzbn5fr2XnmOJX/dx7V5rXN93XdL/8GVR5EAsgedT+vmjK41S0FPRwOX7kdgyu7beBmTnB2fbXHM7lEFlUpIUUxXE6/jUnA+8BVWHH2A8LiUr45d3ZfTBYATx49i5fKlePUqHFKpMZq3bIWRo8fAyMhIbTEIeTndKRPH4uYNP8TGxMLExATOVVwxdMRolCnriJehoejcLvfLg6/duBVuNYW9L4u6L6cLABfPn8PvK5Yi+PkzlChREj/1+xndv+uh1hiEvJzu7BlTcf3aFYX9Wnn0U9ivyWQyrF/jhQP79+JNfBycXapg0pTparmYiLp/kgwe0Fd+Od2XoaHo9InPeg0BP+tCHi8+t72P/HEQs3I5dg8eOgJDBDx2A/n7crqNlv4r2t++OLb+5xu9df78eTRt2jTH9H79+mHLli2QyWSYNWsW1q1bh5iYGNSuXRurVq2Cs7OzvG1KSgomTJiAXbt2ITk5Gc2bN8fq1atRqlQpeZvo6GiMHj0aR44cAQB06tQJXl5eSgWDLyFq4rF27VqUKlUK7du3z3X+1KlT8erVK2zcuDFPyxXzPh5iUud9PPITdd/HI79Q1X08ChoxEo/8QMjEIz8TI/HID9R9H4/8ohDeWuyLiDmeQExMPHKXl8SjoBG1q9XQoUM/Of/dIHMiIiIiInUpormg4IrmqSQiIiIiIlIrJh5ERERERCS4fHNVKyIiIiKi/KCojrsRGiseREREREQkOFY8iIiIiIgUsOAhDFY8iIiIiIhIcKx4EBEREREp4BgPYbDiQUREREREgmPiQUREREREgmNXKyIiIiIiBexpJQxWPIiIiIiISHCseBARERERKdBgyUMQrHgQEREREZHgmHgQEREREZHg2NWKiIiIiEgBe1oJgxUPIiIiIiISHCseREREREQKeOdyYbDiQUREREREgmPFg4iIiIhIgQYLHoJgxYOIiIiIiATHxIOIiIiIiATHrlZERERERAo4uFwYrHgQEREREZHgWPEgIiIiIlLAgocwmHgUIkW1LKhZNFcb/63sKnYIoqg4/m+xQxBF4OL2YocgiiK6W4NWEd2xZcnEjkAcyWmZYocgCkNd/gwtatjVioiIiIiIBMdUk4iIiIhIgQRFs+ooNFY8iIiIiIhIcKx4EBEREREp4J3LhcGKBxERERERCY4VDyIiIiIiBUX1SqFCY8WDiIiIiIgEx8SDiIiIiIgEx65WREREREQK2NNKGKx4EBERERGR4FjxICIiIiJSoMGShyBY8SAiIiIiIsEx8SAiIiIiIsGxqxURERERkQL2tBIGKx5ERERERCQ4VjyIiIiIiBTwzuXCYMWDiIiIiIgEx4oHEREREZECFjyEwYoHEREREREJjokHEREREREJjl2tiIiIiIgU8M7lwmDFg4iIiIiIBMeKBxERERGRAtY7hMGKBxERERERCY6JBxERERERCY5drVTA388XWzZ5IygwABEREVj2+yo0a95C7LAEl5GRgbWrV+Lo338iKjIS5hYW6NS5KwYNGQ4NjcKT0/r7+WLbZm8EBt5DZEQElq7wQlOF7bt21UqcOH4U4eHh0NbWRsVKlTFytDtcqriKGLVw9vjsxJbN3oiMiEBZRydMnDwF1d1qiB3WF6lVxhSDm5WBcykprKR6GOzth1N3X8nnt65ijd717OBcUgpTQx20W/wPgkLjlZbhM7IO6jiaKU3788ZLjN52U2la00qWGN3aERVsiiMpLRPX/4vGsM3+wq2cABITE7Bq5QqcO3Ma0dFRKF+hEiZOngJnlypihyaYNatWYu1qL6VpZmbmOHvxX5EiUo+ichz73P5c0dxZ03Fg316Mn+SBH/v0U3OkqpORkQHvdatw8tjfiIqKhLm5Bdp17Iz+A4fKj9VJSYlY8/syXDx/FnFxsbCxKYHve/2Ibt/3FDl68fDO5cJg4qECyclJKF++PDp37YZx7qPEDkdtNntvwP69uzF73kKUdXRE4L0AzJjmAUNDowK9k/5QcnIyypWvgE5dumH8mNE55ts7OGDSlN9QsmQppKamYMe2rRg+eAD+OHoSpqamIkQsnOPHjmLRAk9M/W0Gqlarjv17d2P4kEE4dORv2Njaih3eZxXT1UTQy3jsux6Ctb+45Zivr6MJv6fROHorDAt6fvzHtc/lYCw99lD+PDU9U2l+myrW8PzBBYv/foArj6IgkQDlbYxUtyJqMmv6NDx+/AhzPRfBwtISf/95BEMH/YwDfxyFlZWV2OEJpqyjE9Zv3Cx/rqGpKWI06lFUjmOf25+/c+7Mady9cwcWlpZqjE4YO7Z44/CBvZg2az7KlHVEUGAA5s+cBgNDI/zQuw8AYMWShbjhex0z5i6AjW0JXLvyL5YsmAtzC0s0atJM5DWgwiTfJR4ymazAZZkNGjZGg4aNxQ5D7e7cvoUmTZujUeMmAIASJUri+NG/EXgvQNzAVKxBw0Zo0LDRR+e3bd9R6fm4iZNx+OB+PHr4ALXr1BU6PLXavnUzunbvjm7ffQ8AmOgxFZcvX8LePT74dcw4kaP7vAtBEbgQFPHR+Yf8QgEAJUyLfXI5yemZiHyTmus8TQ0JpnerBM8j97H32gv59CevE78iYvGkpKTgzOmTWPb7arjVqAkAGDZiFM6dPY19e3Zh5OgxIkcoHC1NTZhbWIgdhloVlePY5/bnAPD61SssmD8Hq9dtxKjhQ9QUmXAC7txGw8bNUP/t9rWxLYHTx4/ifuA9pTbtOnZG9Rq1AABduvfAHwf24X5gQJFNPDQK1k/RAiPf9YfR1dVFUFCQ2GHQF6hW3Q3Xrl3F82dPAQAP7t/HzRv+aNCo8B+8PiY9PQ0H9+2BoZERypWvIHY4KpWeloagwHuoW6+B0vS69erj9q2bH3lV4dTZzRb+c1vixKRGmNKpIgx0358Rdy5ZHDbGxZAlk+Gv8Q1wbVZzbB5SE07WhiJGnHeZmRnIzMyErq6u0nQ9PT3cvHFDpKjU43nwc7Ro0gBtWzXDxPFjEPLixedfRIVCVlYWpnlMRL/+A1DW0UnscFSiSrVq8Lt+FcHPnwEAHj28j9u3bqJug4byNq5Vq+OfC+cQ8foVZDIZ/H2v4UXwM9SuW1+kqKmwEq3iMXbs2FynZ2ZmYsGCBTAzy+5DvXTp0k8uJzU1FampymceZZq6OQ6WpHo/DxiEhDdv0KVjW2hqaiIzMxMjR49B23YdxA5N7S6eP4fJE8YhJSUZ5hYWWLt+E0xMTMQOS6ViYmOQmZkp/26+Y2ZmjsjIj1cRCps//ELxIjoJEfGpKGdjhIkdKqBiCSP0WXMdAFDKTB8A4N7GCXMPByEkOgkDm5bB7pF10Wz+ecQlpYsZ/hczMDBEFddqWL92NUqXKQMzM3McP/oX7t65DTt7e7HDE4xLlSqYN38h7B0cEBUVhQ3r1qDvjz1x8MhfMDYuXN9pymmz9wZoamqi1099xA5FZfr0H4jEhAT06tYBGpqayMrMxJARv6JVm/byNmMmemDBnBno3KYZNLW0oCGRYPJvs+FaLWeX1KKioPW+KShESzyWL18OV1dXGBsbK02XyWQICgqCgYHBF210T09PzJo1S2na1N9mYNr0mSqMlnJz4thR/P3XEXguXIKyjo54cD8Iixd6wsLSEp06dxU7PLWqWas2dh84hNiYGBzcvw8Tx7tj+669MP3gR3ph8OH3siB2j/wWu6++P/v9MDwBzyIS8ef4hqhcsjjuhcTL73a76tRjHL8TDgCYuOsOLs9qhnZVbeBzOViUuL/GPM9FmDl9Clo1awRNTU1UqFgJbdt1wP2gQLFDE4xidyMnAFVcq6JDm5Y4cvgw+vb/WbzASHCB9wLgs2M7du07UKj2aadPHsOJo39h5vxFKFPGEQ8f3MeKJQtgbmGBdh27AAD2+ezEvbt3sGiZF6xtbHHrhh+WLJgDcwsL1KxduLoMk7hESzzmzZuHDRs2YMmSJWjW7H3/QW1tbWzZsgWVKlX6ouV4eHjkqJ7INFntUIdlSxbh54GD0aZd9lkTp3LlERb2Eps2rityiUcxfX3Y2dnDzs4eVVyrolO71jh0cD8GDCr4/YPfMTE2gaamJiIjI5WmR0dHwczMXKSoxBcQEo+0jCw4WBjgXkg8XsdnV2AfhSfI26RlZuFFVBJKGH967Eh+U8rODt5bdiA5KQkJiQmwsLDExHHusC1RUuzQ1EZfXx9O5cohOPiZ2KGQwG7e8Ed0dBTatXz/myQzMxNLFy/Ezu1bcfTkWRGj+3qrli9Bn/4D0LJ1OwBAWadyCA9/iW2bN6Jdxy5ITUnBWq/l8Fzyu3wciGO58nj08AF2bdvMxINUSrTEw8PDAy1atMBPP/2Ejh07wtPTE9ra2nlejq5uzm5VKRmqipI+JSUlRX529x0NDU1kZclEiigfkcmQnpYmdhQqpa2jg4qVKuPq5X/RvEVL+fSrly+jSbPmIkYmrnLWhtDR0kBEXHbCEfAiDqnpmShjaQi/pzEAAC0NCUqa6iM0pmCOFSimr49i+vqIj4vD5cuX4D52gtghqU1aWhqePPkP1aoX3S4nRUX7jp1yXBBk+JCBaN+xMzp3Kbgn01JSkiH54BL3mhqakGVlAci+3G5GRkaOy+BraGggS1Z0j+eFqOiVr4h6VauaNWvC398fI0aMQI0aNbBjx44CWd5MSkxEcPD77hOhISG4HxQEqVRaIC4x+rUaNWmKjRvWwtrGNrurVVAQdmzbjM5du4sdmkolJSXiheL2DQ3Bg/tBKC6VwlhqjI3r16Jx02Ywt7BAXGws9u72watX4WjZuo2IUQujT7+fMXXyRFRydoarazUc2LcHYWFh+P6HgnGtd30dTdhbGMiflzLVR8USxRGXmIaXsSmQ6mvD1qQYrIpnn8woY5ndNiI+FZFvUmFnpo/ONWxxPjAC0YlpcLIyxNQulRDwIg5+T6MBAAmpGdh5ORjubZ0QFpuM0JhkDG5aBgDw960wNa/xt7n87z+QyWRwcCiN4OBgLFuyCA4OpdG5SzexQxPMksUL0bhJU1jb2CA6Ohob1q5BYkICOhXgH55foqgcxz61P7exsc0xjkdLSwvm5uZwKF1G3aGqTINGTbDVez2srG1QpqwjHt4Pwu4dW9H+bc8EA0NDVHOrCa/l/4Ouri6sbWxx098Xx/4+gtFjJ4ocPRU2Epksf6Szu3fvhru7OyIiInD37t0v7mqVG3VXPHyvX8PAn/vmmN6pc1fMmb9AbXGoe0t+eHMxCwtLtGnXHkOGjYC2to7a4pBB2BX3u34Ng37JeV+Sjp27YOr0WZgycTzu3r2N2JgYSI2NUdnZBYMGD0NlFxdB4/qw2qQue3x2Yssmb0REvIajUzlMmOQhv9yqOlQc//dXv7a2oyl2j8zZbWD/9ReYsOsOutcqif/1znnjx+XHH2LF8UewMdbDsp+qopyNEfR1NREWk4Jzga+x4sQjpUHjWhoSTOxQAV1rloCutgZuP4/F7EOBSt2v8ipwcfvPN1KxE8ePYuXypXj1KhxSqTGat2yFkaPHwMhIffckUffHfOL4Mbjh54uYmFiYmJqgSpWqGDHqV5R1dFRvIGqWX45jQp9h/9T+fPa8nOvZrlUz/Ninn+D3pkpOy/x8o6+UmJiIDat/x4VzZxATEw1zC0u0bN0WvwweJj9WR0VGYM3K5bh+9TLi4+NgbWOLzt2+Q88f+wl6QtjMIN/d1UGu7647ov3tbb0L701a803iAQAhISHw9/dHixYtYGBg8PkXfERR7WqVf7akegmdeORXYiUeYvuWxKMgEyPxyA+K6Me8yCqqXXuETDzyMyYeuSvMiUe+2uIlS5ZEyZJFZ9AiEREREVFRka8SDyIiIiIisfHO5cLId3cuJyIiIiKiwocVDyIiIiIiBQXxKqsFASseREREREQkOFY8iIiIiIgUsN4hDFY8iIiIiIhIcEw8iIiIiIgKoIyMDEybNg2lS5dGsWLFUKZMGcyePRtZWVnyNjKZDDNnzoStrS2KFSuGJk2a4N69e0rLSU1NxahRo2Bubg4DAwN06tQJISEhKo+XiQcRERERkQINiUS0R14sXLgQa9euhZeXF4KCgrBo0SIsXrwYK1eulLdZtGgRli5dCi8vL/j6+sLa2hotW7bEmzdv5G3c3d1x6NAh7N69G5cuXUJCQgI6dOiAzEzV3tySYzyIiIiIiAqgK1euoHPnzmjfvj0AwMHBAT4+PvDz8wOQXe1Yvnw5pk6dim7dugEAtm7dCisrK+zatQtDhgxBXFwcvL29sX37drRo0QIAsGPHDpQqVQqnT59G69atVRYvKx5ERERERAokEvEeqampiI+PV3qkpqbmGmeDBg1w5swZPHz4EABw+/ZtXLp0Ce3atQMAPH36FOHh4WjVqpX8Nbq6umjcuDEuX74MAPD390d6erpSG1tbWzg7O8vbqEqeKh79+/eXr9iXqFSpEjZu3JjnoIiIiIiIiiJPT0/MmjVLadqMGTMwc+bMHG0nTZqEuLg4VKhQAZqamsjMzMS8efPQq1cvAEB4eDgAwMrKSul1VlZWeP78ubyNjo4OTExMcrR593pVyVPicefOHdy4ceOL29eqVSvPARERERERFVUeHh4YO3as0jRdXd1c2+7Zswc7duzArl27ULlyZdy6dQvu7u6wtbVFv3795O0+vCGiTCb77E0Sv6RNXnGMBxERERGRAjHvXK6rq/vRRONDEyZMwOTJk9GzZ08AgIuLC54/fw5PT0/069cP1tbWALKrGjY2NvLXvX79Wl4Fsba2RlpaGmJiYpSqHq9fv0a9evVUtVoAOMaDiIiIiKhASkpKgoaG8s95TU1N+eV0S5cuDWtra5w6dUo+Py0tDRcuXJAnFW5ubtDW1lZqExYWhoCAAJUnHqx4EBEREREpELHgkScdO3bEvHnzYGdnh8qVK+PmzZtYunQpfvnlFwDZlRt3d3fMnz8fTk5OcHJywvz586Gvr4/evXsDAKRSKQYMGIBx48bBzMwMpqamGD9+PFxcXORXuVIVJh5ERERERAXQypUr8dtvv2H48OF4/fo1bG1tMWTIEEyfPl3eZuLEiUhOTsbw4cMRExOD2rVr4+TJkzAyMpK3WbZsGbS0tNCjRw8kJyejefPm2LJlCzQ1NVUar0Qmk8m+tHG1atVQrVq1L2ork8kQEBAAX1/frw7ua6VkqP1P5gtfviULFxmK5orn9SZDhUXF8X+LHYIoAhe3FzsEURTRj3mRlVVED2TJaaq9SVtBYWaQf89/D9l/7/ONBLLuu8qi/W2h5WmLHz58GCkpKV/cvlixYnkOiIiIiIhITEX15J7Q8pR4+Pv7IzIy8ovbW1paws7OLs9BERERERFR4ZKnq1rNnTsXenp68st8fe4xf/58oeImIiIiIhKEmHcuL8zyVPGQyWTo27fvF7f38vLKc0BERERERFT45CnxyOvNVMS8+QoRERER0dfgb1hh8AaCREREREQkOCYeREREREQkuDyP8bh48eIXt83DLUJUqqheB7yokqBolkNT0ovmdd/vLW4ndgiiaLTovNghiOLChMZihyCKotrNIzU9S+wQRFFMW7U3aaNvxzPzwshT4vHLL7/g2LFjX9y+f//+eY2HiIiIiIgKoTwlHsOGDUNW1pefjdDQYL5IRERERAVLUa06Ci1PiUetWrVgbGz8RW1lMhmSkpJw7dq1r4mLiIiIiIgKkTyP8Th79uwXt69Zs2aeAyIiIiIiosKH9/EgIiIiIlKgwZ+wguAgDCIiIiIiElyeKh5ERERERIUdKx7CYMWDiIiIiIgEl6eKh5mZGerVq/fF7c3NzfMcEBERERGRmDhOWRh5Sjxq1KiBZ8+efXF7R0fHvMZDRERERESFUJ4SjxMnTuDw4cOQyWRf1P7777/HnDlzviowIiIiIiIqPPJ8Hw87O7s8tSciIiIiKkg4uFwYeRpczvt4EBERERHR1+DldImIiIiIFPDcuTB4OV0iIiIiIhJcnsd4zJ49+4vbEhERERERAXlMPFavXo34+Pgvbt+6des8B0REREREJCYN9rUSRJ4Sj7p16woVBxERERERFWIcXE5EREREpICDoIXB95WIiIiIiATHigcRERERkQIO8RAGKx5ERERERCQ4Jh5ERERERCQ4drUiIiIiIlLAy+kKg4nHV/D388W2zd4IDLyHyIgILF3hhabNWwAA0tPTsXrlClz65wJCQkJgaGiI2nXqYfSYsbC0tBI58m/zqfUGgGrOFXJ9nfvYCej3ywB1hSm4tq2aIexlaI7pPXr2xpRpM0SISBivX73CqhVLcPnff5Camgo7O3tMnTkXFStVBgDM/m0K/v7zsNJrKrtUwabtu0WIVnUK4/e7Wikp+tQthQrWRrAw0sX4fQG48DBSqc2ghg7oWs0GRnpauPfyDRYdf4gnkUny+R5ty6FWaROYG+ogOS0Td0LjsfLsEzyPet+mvLUhRjUtg0q2xZGZJcO5BxFYduo/JKdnqm1d88J74zqcPX0Kz54+ga6eHlxdq+HXMePgULqMvM3a1Stx4thRhL8Kh7aWNipWqoyRo93hUsVVxMi/nb+fL7Zu9kZQYAAiIiKwdMUqNFPYn8tkMqxd7YWD+/cgPj4ezi6u8Jg2HY6OTiJG/e26tGuB8LCXOaZ379ELEzx+g0wmw8Z1q/DHgX148yYelZyrYILHNJQpW7DX29/PF9u2KOzXlisfv5OSEvH7siU4d/YM4uJiYWtbAj1/7IMeP/QSMWoqjNjV6iskJyejXPkKmDzltxzzUlJSEBQYiEFDhsNn7wEsWb4Swc+fwX3kcBEiVa1PrTcAnDr/j9Jj5px5kEgkaN6ylZojFdbO3ftx+vwl+WPths0AgJat2ogcmerEx8dhcP8foamlheVe67D7wJ/4ddxEGBkZKbWrW78Bjp6+IH8s81orUsSqUxi/38V0NPHwVSIWn3iU6/y+dUuhd+2SWHziEfpvvoGohDR49XaFvo6mvM398DeY/ed99Fjni1G770ACwKtXFWi8PSlobqiDVb1d8SImGT9v9sevu++gjLkBZnTM/YREfnDDzxc/9OyNbTv3YM36TcjMzMCwIQORnPQ+mbK3d8CkKb9h34Ej2LxtJ2xLlMDwIQMQHR0tYuTfLjk5CeXKl8fkKdNznb9l0wbs2LYZk6dMx87d+2Fubo5hg35GYmKCmiNVrc079uLvUxfkj9/XbAQANGuZfcPj7Vu84bNjK8ZNnoZNO/bCzMwco4cORGJiophhf7Pk5GSUK/fx4/f/Fi3A5X8vYd6CRTj4x9/4sU8/LPKci3Nnz6g50vxDIhHvUZix4vEVGjRshAYNG+U6z8jICGs3blKaNsljGn7q9T3Cwl7CxsZWHSEK4lPrDQDm5hZKz8+fO4uatWqjZKlSQoemVqampkrPN21cj1Kl7FCjZi2RIlK97Zu9YWltjemz58un2ZYokaOdtrYOzD7Y7gVdYfx+X/4vGpf/+/gP5V61SmLzv89x7kF2FWTmn0E44V4frStb4tDNMACQ/x8AwuKANReewmdQTdhI9RAam4KGTmbIyJRh0fFHkL1tt+jEI+wcWAMlTYohJCZZsPX7WqvWblR6PnOOJ5o3rofAwHtwq1ETANC2fUelNuMmTMbhg/vx6OED1K5TcG+q26BhYzRo2DjXeTKZDDu3b8PAwUPlJ47mzF+IZo3r4djff+G7Hj3VGapKmXyw/962eSNKliqF6m41IZPJsGfXNvQfMARNm7cEAEyf44l2zRvi5LG/0PW7H8QIWSU+d/y+c/sWOnTqgho1awMAun//Aw7s24PAewFo2qy5usKkIoAVDzV4k/AGEokERkbFxQ5FbaIiI3Hp4gV06dZd7FAElZ6ehqN/HUHnrt0hKUSnKS5eOIuKlZzhMd4dbZo2QJ8fuuHwgX052t3w80Wbpg3wXae2mD9rOqKjo0SIVlwF/ftdwlgP5oa6uPokRj4tPVOGG8GxqFJSmutr9LQ10LGKNUJjkvEqPhUAoK2pgYysLHnSAQCpb7tYVS2V+3Lym4SENwAAqTT3eNPT03Bw/x4YGhmhXPn8W8n5VqEhIYiMjEDdeg3k03R0dFCjRk3cunVTxMhUKz09DceP/okOnbtBIpHgZWgIoiIjUbtuPXkbHR0dVHOrgbu3b4kXqBpUrVYdF86fxetXryCTyeB7/SqeP3+GevUbfP7FRHnAiofAUlNT8fuyJWjbrgMMDQ3FDkdt/jxyGPr6BmjWonB1s/rQ2TOn8ebNG3Tq0lXsUFTqZUgIDu7bjV4/9UP/gYNxL+Auli6aDx0dHbTr2BkAULdBQzRr2Ro2trZ4GRqCdat+x4hBP2Orz37o6OiIvAbqURi+32YG2dsqOjFNaXp0Yhqsi+spTfvOzRajmpWFvo4mnkYmYsSu28jIyk41/J7FYEyLsvipTinsvh6CYjqaGN40e6yEuWH+/zzIZDIsWbwA1aq7wdGpnNK8ixfOYfKEcUhJSYa5hQXWrt8EExMTkSIVXmRkBADA1MxMabqpmTnCXuYcH1FQXTh3Bglv3qB9x+z9d1RkdsXP1NRcqZ2pmXmu40IKk0keUzF75m9o3aIxtLS0IJFIMH3WXFSr7iZ2aKLRKDznEvOVfJV4xMTEYOvWrXj06BFsbGzQr18/lPpMN53U1FSkpqYqTcvU0IGurq6QoX6R9PR0TJ4wFjKZDB6/FZ5Bx1/ij0MH0LZDh3yxHYR0+OAB1G/QKF8PLP4aWVlZqFjJGcNHjwEAlK9QCU//e4wD+3bLE4+WrdvK25d1dELFSs7o3LY5/v3ngrybQmFW2L7fsg+e53bMPRbwCteexMDcUAc/1SkFz26VMXDrTaRlZuFJZBJm/nkfY1o4YkTTMsjKkmGPbwiiEtKQmfXh0vOfBfPm4NHDB9i8dVeOeTVr1sbu/YcQGxODgwf2YeJ4d2zfuTfHD/PC5sMqrkwmK1T9z/88fBB16jeEhaWl0vTc17sQrXgufHZux907t7F85WrY2JTADX9feM6dBXNzC9RRqAARfStRu1rZ2toiKiq7a8bTp09RqVIlLFy4EI8ePcK6devg4uKC+/fvf3IZnp6ekEqlSo//LfRUR/iflJ6ejknjxiA0JARrNngX2LOhX+OGvx+ePX2Krt2+FzsUQb18GYprVy+ja/fvxA5F5cwtLFC6bFmlaQ6ly+JVWNhHXpH9GmsbW7wIfi50eKIrTN/vqLeVjneVj3dMDHTk895JTM3Ei5hk3HwRh0kH7sHBTB9Nyr8/O3zi3mu0WXEZ7X+/jBZL/8X6f57BWF8bL2NThF+Rb7Bg/hxcOH8WG7y3wcraOsf8Yvr6sLOzRxXXqpg5ex40NbVw6NB+ESJVj3fj9d5VAN6JiY6CqZl5bi8pcMJehsL32hV07vK+O7CZefa6RUVFKLWNiY6CqWnhTTJTUlKwcsVyjJswGY2bNEO58uXRs/dPaNWmHbZv3fT5BRRSGhKJaI/CTNTEIzw8HJmZ2X2Ap0yZggoVKuC///7DyZMn8fjxYzRs2BC//Zb7FRje8fDwQFxcnNJj/CQPdYT/Ue9+lAQHP8fajZthbFx4S/K5OXxwPypWqozyFQpvH2gA+OPQQZiamqFhoyZih6JyVVyr4/mzp0rTgp8/g/UnBk/Hxcbi9avwHBcZKGwK2/c7NDYFkQmpqF36/XpoaUhQ3c4Yd0LiPvlaiQTQ0cp5GIlOTEdyeiZaVrJEWkYWrj2NyeXV4pPJZFgwbzbOnjmFdd5bUKJkyS99IdLT0j7froAqUbIkzM0tcOXKv/Jp6elp8PPzRdWq1USMTHX+OnIIJqamqKcwwN62REmYmZvj+tUr8mnp6Wm46e8HF9eqIkSpHhkZGcjISIdEovxd1tTQQFZWlkhRUWGVb7paXbt2DRs3boS+vj4AQFdXF9OmTcN33336bLKurm6O7jxJ6cKW9ZOSEvEiOFj+PDQ0BA/uB6G4VAoLC0tMGPsr7gcGYsWqtcjKypT3l5VKpdDWzv99nT/mU+v97mo+CQkJOHXyBMaOnyRWmGqRlZWFI4cPomPnLtDSyjdfI5Xp9VNfDOz/I7ZsXIfmrdogMOAuDh/YB4/fZgLI/ixsWLsKzZq3gpm5BcJehmLNyuWQGpugcbMWn154PlcYv9/FtDVRyrSY/LmtsR7KWRkiLjkdr+JT4XM9BD/Xt8eLmGS8iE5G/3p2SEnPxIl7rwFkD0BvWckSV59EIyYpHZZGuuhb1w4p6Vn49/H7Cwp8X6ME7oTEITktE7VLm2B087LwOvsECakZal/nL+E5bzaOHf0Ly1asgoGBgXxbGhoaQU9PD8lJSdi4YS0aN2kGcwsLxMXGYu8eH7x6FV7gL5+dlJSI4A8+5/fvB0H6dn/+Y5++8N6wDvZ2DrCzt8fGDetQTE8Pbdt3EDFq1cjKysLffxxCuw7K+2+JRIIfevfFVu/1KGVnj1J29tjqvR56enpo1bZgr/fnjt9uNWpi+dLF0NPThY1NCfj7Xcdff/6BsRMmixi1uAp54UE0EplMJlrnWw0NDbx69QoWFhYoUaIETp48icqVK8vnP3v2DBUqVEBKSt7K9EInHn7Xr2HQL/1yTO/YuQuGDh+J9q1z/+G1YdNW1KhVW9DYhPSp9Z49bwEA4MC+PfjfQk+cPPdPjns+CEWSa290YV3+9xKGDxmAP/46DnuH0mr/+wCQmiHsTdkuXTyP1b8vw4vg57AtURK9fuqHLt2zu8+lpKRg4phReHg/CG/exMPcwgJuNWpjyIhRsLK2ETSu3M6wq1J+/X43XnThq19b3c4Y6/pUzTH9r9vhmPVXdnfWQQ0d0K26DYz0tHEvNB6LTjzCfxHZ9y4wN9TBtPblUcHaCMWLaSE6MQ03g+Ow8Z9neB79/jK5MztWQH1HM+jraOJZVBJ2XH2BYwGvvjpuALgwIfdLvqpCNZfcq7Kz5sxHpy7dkJqaiimTxuPu3duIjYmB1NgYlSu7YNCQYajs7CJYXEDOcQaq5nv9Ggb90jfH9I6du2LOvAXyGwge2LcH8fFxcKniCo+p03MMvFe1FDXcbPLalX/x6/BB2Hv4KOzsHZTmvbuB4OEDe/EmPh6VnatgvMdvKCvwjRN1hd6v+X5kv9Yp+/gdGRmBlcuX4sqVfxEfFwcbG1t0+64HfurbX9DPor5O/v11P+f0Y9H+9m8tHEX720ITPfFwdnaGlpYWHj16hG3btqFr1/dXB7p48SJ69+6NkJCQPC1X6MSD8hcxEo/8QOjEI78SOvHIr74l8SjIhEw88rPCPpj5Y9SReORHQice+RUTj9wV5sRD1D4iM2YoXwnmXTerd/788080bNhQnSERERERURHHy+kKI18lHh9avHixmiIhIiIiIiIhFb5RsURERERE36CoduMWWtHsVEhERERERGrFxIOIiIiIiATHrlZERERERAo4uFwYrHgQEREREZHgWPEgIiIiIlLAiocwWPEgIiIiIiLBseJBRERERKRAImHJQwiseBARERERkeCYeBARERERkeDY1YqIiIiISAEHlwuDFQ8iIiIiIhIcKx5ERERERAo4tlwYrHgQEREREZHgmHgQEREREZHg2NWKiIiIiEiBBvtaCYIVDyIiIiIiEhwrHkRERERECng5XWGw4kFERERERIJjxYOIiIiISAGHeAiDFQ8iIiIiIhIcEw8iIiIiIhIcu1oRERERESnQAPtaCaFQJh6SIvphkUEmdgiikMmK5nrraWuKHYIoMjKL5vY+O76R2CGIouQAH7FDEMXLzb3FDkEURXW/xvEEVFQUysSDiIiIiOhrMRkUBsd4EBEREREVUKGhofjpp59gZmYGfX19VK1aFf7+/vL5MpkMM2fOhK2tLYoVK4YmTZrg3r17SstITU3FqFGjYG5uDgMDA3Tq1AkhISEqj5WJBxERERFRARQTE4P69etDW1sbx44dQ2BgIJYsWQJjY2N5m0WLFmHp0qXw8vKCr68vrK2t0bJlS7x580bext3dHYcOHcLu3btx6dIlJCQkoEOHDsjMzFRpvOxqRURERESkoKDcuXzhwoUoVaoUNm/eLJ/m4OAg/7dMJsPy5csxdepUdOvWDQCwdetWWFlZYdeuXRgyZAji4uLg7e2N7du3o0WLFgCAHTt2oFSpUjh9+jRat26tsnhZ8SAiIiIiyidSU1MRHx+v9EhNTc217ZEjR1CjRg18//33sLS0RLVq1bBhwwb5/KdPnyI8PBytWrWST9PV1UXjxo1x+fJlAIC/vz/S09OV2tja2sLZ2VneRlWYeBARERERKdCQSER7eHp6QiqVKj08PT1zjfPJkydYs2YNnJyccOLECQwdOhSjR4/Gtm3bAADh4eEAACsrK6XXWVlZyeeFh4dDR0cHJiYmH22jKuxqRURERESUT3h4eGDs2LFK03R1dXNtm5WVhRo1amD+/PkAgGrVquHevXtYs2YN+vbtK28n+eAyXTKZLMe0D31Jm7xixYOIiIiIKJ/Q1dVF8eLFlR4fSzxsbGxQqVIlpWkVK1ZEcHAwAMDa2hoAclQuXr9+La+CWFtbIy0tDTExMR9toypMPIiIiIiIFEgk4j3yon79+njw4IHStIcPH8Le3h4AULp0aVhbW+PUqVPy+Wlpabhw4QLq1asHAHBzc4O2trZSm7CwMAQEBMjbqAq7WhERERERFUBjxoxBvXr1MH/+fPTo0QPXr1/H+vXrsX79egDZXazc3d0xf/58ODk5wcnJCfPnz4e+vj569+4NAJBKpRgwYADGjRsHMzMzmJqaYvz48XBxcZFf5UpVmHgQERERESnQKCC3Lq9ZsyYOHToEDw8PzJ49G6VLl8by5cvx448/yttMnDgRycnJGD58OGJiYlC7dm2cPHkSRkZG8jbLli2DlpYWevTogeTkZDRv3hxbtmyBpqamSuOVyGQymUqXmA8kp4sdgThkKHSb8ssU0dXWKCgXGVexjMyiucGL6vfbfuBusUMQxcvNvcUOQRSF7xfJlykgv3FVTi8fn/72vh4s2t8eUMtOtL8ttHy8yYmIiIiI1K+oJoNC4+ByIiIiIiISHBMPIiIiIiISHLtaEREREREp4Jl5YfB9JSIiIiIiwbHiQURERESkQMLR5YJgxYOIiIiIiATHxIOIiIiIiATHrlZERERERArY0UoYrHgQEREREZHgWPEgIiIiIlKgwcHlgmDFg4iIiIiIBMeKBxERERGRAtY7hMHE4yv4+/li62ZvBAUGICIiAktXrEKz5i3k88+cOon9+/YgKDAAsbGx2L3/MCpUqChixKrh7+eLbZu9ERh4D5EREVi6wgtNFdZb0dxZ03Fg316Mn+SBH/v0U3OkquO9cR3Onj6FZ0+fQFdPD66u1fDrmHFwKF1G3ubM6ZM4sG8PggLvZW/vfYdQvhBs74/Z47MTWzZ7IzIiAmUdnTBx8hRUd6shdlgqsW+PD/bv9UHYy1AAQJmyjhg0ZATqN2yE9PR0rPFagUv/XEBoSAgMjQxRu3Y9jHIfCwtLK5Ej/zb79/hg/97dSus9cMhw1G/YSN7m6ZP/8PuyJbjh7wtZVhbKlHXEgv8tg7WNrVhhf1bd8hYY1b4SXB1MYGOij5+WX8RR/xAAgJamBFO/c0VLV1vYWxoiPikNF+69wuw9txAemwwAKGVugNvLOue67J9X/oM/rr8AAEj1tbGgTw20rV4CAHDsRigmbfdDfFK6GtZStQrz9xsousfvD/n7+WLLpvfvw7Lfld8HIqGwq9VXSE5OQrny5TF5yvSPzq9arRpGu49Xc2TCSk5ORrnyFTB5ym+fbHfuzGncvXMHFpaWaopMODf8fPFDz97YtnMP1qzfhMzMDAwbMhDJSUnyNsnJyXCtWh2j3MeJGKl6HD92FIsWeGLQ4GHYs/8wqld3w/AhgxD28qXYoamElZUVRrmPw3af/djusx81a9XB2F9H4L/Hj5CSkoL7QYEYOGQ4du45gP8tXYnnz59hzOjhYof9zSytrDHSfSy2+ezDNp99qFGrDsb9OhL/PX4EAAh5EYyB/X6EQ+nSWOe9Fbv2H8bAIcOgo6MrcuSfZqCrhYDgGEza5pdjXjEdLbg6mOB/hwPQdNox9FvxDxytjbBzzPtkKzQqCRVGHlR6eB64g4SUdJy+HSZvt2F4fbjYm+D7xefx/eLzcLE3wdqh9dSyjqpU2L/fQNE9fn8oOTkJ5cuXx+Spub8PREJhxeMrNGjYGA0aNv7o/A6dugAAQkND1BSRejRo2AgNFM6A5ub1q1dYMH8OVq/biFHDh6gpMuGsWrtR6fnMOZ5o3rgeAgPvwa1GTQBAh47ZZ0RfFrLtnZvtWzeja/fu6Pbd9wCAiR5TcfnyJezd44NfxxT8xKtRk2ZKz0eMHoP9e3fj7p3b6NLNCavXb1KaP9FjGvr2/h5hYS9hk4/P/H9OoyZNlZ6PGO2OA2/Xu6yjE1atXI56DRvh17ET5G1Kliyl7jDz7PSdMJy+E5brvDfJ6ei28JzStEnb/HBmdhuUMNNHaFQSsmQyvI5LUWrT3q0kDl8LRmJqBgCgnG1xtHC1RcuZJ+D/XxQAwN37Gk7ObA1HayM8Dn8jwJoJo7B/v4Gie/z+0OfeBwI4tlwYrHiQymRlZWGax0T06z8AZR2dxA5HEAkJ2T8ipFKpyJGoX3paGoIC76FuvQZK0+vWq4/bt26KFJVwMjMzceLY30hOTkIV16q5tklIeAOJRAIjo+LqDU5AH653VlYW/r14Afb2Dhg5dCBaNq6Pfr1/wPmzp8UOVeWK62sjK0uG+MS0XOe7OpigioMpdlz4Tz6tpqM54hLT5EkHAPj9F4W4xDTUcrIQPGZVKWrfbyISh6gVj5s3b8LY2BilS5cGAOzYsQNr1qxBcHAw7O3tMXLkSPTs2fOTy0hNTUVqaqrStCwNXejq5u8uAIXRZu8N0NTURK+f+ogdiiBkMhmWLF6AatXd4OhUTuxw1C4mNgaZmZkwMzNTmm5mZo7IyAiRolK9Rw8f4Oc+vZCWlopi+vr433IvlCnrmKNdamoqVi5fgjbtOsDQ0FCESFXr8cOHSuu9ePlKlCnriMjICCQlJWGL90YMGzUao9zH4cq/lzBhzGis9d4Ctxq1xA5dJXS1NTC9R1Xsv/IMb1Iycm3zU+OyeBAah+uPIuXTLKV6iIhPydE2Ij4FlsZ6gsWrakXl+030pSQseQhC1IrHgAED8OzZMwDAxo0bMXjwYNSoUQNTp05FzZo1MWjQIGzatOmTy/D09IRUKlV6LF7oqYboSVHgvQD47NiOWfM8C+2XdcG8OXj08AE8Fy4ROxRRfbh9ZTJZodrmDqVLw2ffIWzZsRvf9eiJGdMm48l/j5XapKenw2PiWGRlyTB56gyRIlUt+9IO2LXvIDa/Xe+Z0zzw5L/HkGXJAACNmzbDj336o3yFiug/YBAaNGqCA3v3iBy1amhpSrBxRH1oaEgwYYtvrm30tDXxXV0HpWrHO7Jc2kskEshym5HPFfbvNxGJS9SKx4MHD1C2bFkAwOrVq7F8+XIMHjxYPr9mzZqYN28efvnll48uw8PDA2PHjlWalqXBaoe63bzhj+joKLRr+b6PfGZmJpYuXoid27fi6MmzIkb37RbMn4ML58/Ce8sOWFlbix2OKEyMTaCpqYnIyEil6dHRUTAzMxcpKtXT1tZBKTt7AEClyi4IDAiAz85tmDp9NoDspGPyhDF4GRqCtRu3FIpqB/DhejsjMOAufHZux0SPqdDU0kLpt/vqd0qXKYNbN2+IEapKaWlKsGlkA9hbGKKz55mPVjs61SqFYrqa2H3pqdL013EpsCyes7JhbqSLiLiclZD8qqh8v4lIXKImHsWKFUNERATs7OwQGhqK2rVrK82vXbs2nj59+pFXZ9PVzdmtKrngXcGwwGvfsRNq16mrNG34kIFo37EzOnfpKlJU304mk2Hh/Dk4e/Y0NmzahhIlS4odkmi0dXRQsVJlXL38L5q3aCmffvXyZTRp1lzEyIQlk8mQlpbd5/9d0vHi+XOs894KY2MTkaMTjkyW3e9fW1sHlSs74/kz5X1x8PNnBXpAPfA+6ShrbYRO888gJiH3sR1Adjer4zdCEfVGuWuv7+NISA10UL2MGW48yR7n4VbWDFIDHVx/VHC6KBXV7zfRx3AQtDBETTzatm2LNWvWYOPGjWjcuDH2798PV1dX+fy9e/fC0TFn32qxJSUlIjg4WP48NDQE9+8HQSqVwsbGFnFxsQgLC0PE69cAgOdvkydzc3OYmxecwYYfSkpKxIsP1vvB/SAUf7veH/4I09LSgrm5udI9Lwoaz3mzcezoX1i2YhUMDAzkfZ0NDY2gp5d9ljMuLhbhYWF4/XZ7P3v7A82sgG/v3PTp9zOmTp6ISs7OcHWthgP79iAsLAzf//DpsVgFhdeKpajfoBGsrK2RmJiIk8ePwt/vOlau2YCMjAxMGvcr7gcFYrnXWmRmZco/D1KpFNraOiJH//VWrViGeg0awsraBkmJiTjxdr1/X7MeANCn/y/wmDAO1avXQI1atXH530v458J5rPPeKnLkn2agq4XSVu8rUvYWBnC2M0ZMYhrCY5KxZVRDuDqYoOfSC9DUkMBSmv2djklIQ3pmlvx1pS0NUa+8JX743/kcf+Phy3icvv0SywfUwthN1wEAy36pheM3QwvUFa2Awv/9Boru8ftDSYkfvA8hIbgf9PZ9sC3YJxQof5PIZOL1Qn358iXq168POzs71KhRA2vWrIGbmxsqVqyIBw8e4OrVqzh06BDatWuXp+UKXfHwvX4Ng37pm2N6x85dMWfeAvxx+CBmTPPIMX/IsJEYNmKUYHHJcu1prDp+169h0C85bwbYsXMXzJ63IMf0dq2a4cc+/YS/gaCAq13NpUKu02fNmY9OXboBAI4cPogZv03J0WbIsBEYOly47a2hIU6/6z0+O7FlkzciIl7D0akcJkzykF9aWB0yMoXb4LNnTMX1a1cQGREBQ0MjOJUrj36/DESduvXxMjQEHdvmfoOtdd5bUaNm7VznqYqQ3+/ZM6bC99pVhfUuh75v1/udPw4dwBbv9Xj96hXsHUpj8PCRaNJU+DPh9gN3f/Vr61ewxJ9Tc26zXf88wcKDdz96c8CO807j3/uv5c+nfe+KH+o7oMqYP3Idt2FsoIMFfdzQtnp2RfTYjRBM3PZtNxB8ubn3V7/2W4j9/Rb6F0l+PX6rexiN7/VrGPhzzvehU+eumDM/5/FcKHr5+KYOe2+Jd/+aHlULb/InauIBALGxsViwYAH+/PNPPHnyBFlZWbCxsUH9+vUxZswY1KiR9zumFtWuVkInHvlWEV1tsRIPsQmZeORnRfX7/S2JR0EmVuIhtoI4IF8Viur4fSYeuSvMiYfom9zY2BgLFizAggXqy7CJiIiIiD6miOaCguPYGSIiIiIiEhwTDyIiIiIiEpzoXa2IiIiIiPIT3jhTGKx4EBERERGR4FjxICIiIiJSwDPzwuD7SkREREREgmPiQUREREREgmNXKyIiIiIiBRxcLgxWPIiIiIiISHCseBARERERKWC9QxiseBARERERkeBY8SAiIiIiUsAhHsJgxYOIiIiIiATHxIOIiIiIiATHrlZERERERAo0OLxcEKx4EBERERGR4FjxICIiIiJSwMHlwmDFg4iIiIiIBMfEg4iIiIiIBMeuVkRERERECiQcXC4IVjyIiIiIiEhwrHgQERERESng4HJhsOJBRERERESCY8WDiIiIiEgBbyAoDCYehUhWltgRiENTo2juHLJkMrFDEIUMRXO9tTWLZoH65ebeYocgCtufd4kdgihCNxXN7R2XlC52CKLQK64tdgikZkXzSEZERERERGrFigcRERERkQIOLhcGKx5ERERERCQ4VjyIiIiIiBSw4iEMVjyIiIiIiEhwTDyIiIiIiEhw7GpFRERERKRAwvt4CIIVDyIiIiIiEhwrHkRERERECorovYkFx4oHEREREREJjhUPIiIiIiIFHOMhDFY8iIiIiIhIcEw8iIiIiIhIcOxqRURERESkgHcuFwYrHkREREREJDhWPIiIiIiIFHBwuTBY8SAiIiIiIsEx8SAiIiIiIsGxqxURERERkQLeuVwYrHgQERERERVwnp6ekEgkcHd3l0+TyWSYOXMmbG1tUaxYMTRp0gT37t1Tel1qaipGjRoFc3NzGBgYoFOnTggJCREkRiYeREREREQKJCL+9zV8fX2xfv16VKlSRWn6okWLsHTpUnh5ecHX1xfW1tZo2bIl3rx5I2/j7u6OQ4cOYffu3bh06RISEhLQoUMHZGZmftN7mBsmHkREREREBVRCQgJ+/PFHbNiwASYmJvLpMpkMy5cvx9SpU9GtWzc4Oztj69atSEpKwq5duwAAcXFx8Pb2xpIlS9CiRQtUq1YNO3bswN27d3H69GmVx8rEg4iIiIgon0hNTUV8fLzSIzU19aPtR4wYgfbt26NFixZK058+fYrw8HC0atVKPk1XVxeNGzfG5cuXAQD+/v5IT09XamNrawtnZ2d5G1Vi4kFEREREpEAiEe/h6ekJqVSq9PD09Mw1zt27d+PGjRu5zg8PDwcAWFlZKU23srKSzwsPD4eOjo5SpeTDNqrEq1qpSGJiAlatXIFzZ04jOjoK5StUwsTJU+DsUuXzLy4A9u3xwf69Pgh7GQoAKFPWEYOGjED9ho1ytJ03ezoO7t+LcRM80LtPP3WHqnL+fr7YutkbQYEBiIiIwNIVq9Cs+fuzCjKZDGtXe+Hg/j2Ij4+Hs4vr/9u777AozjUK4GdZqoBILyrdjg2wgL0RO6ixxF6jsSL2EjU2LLH3jh17ibE3bDGKiorYo6KAIoj0urv3D28IKxiTuLMjy/ndZ5/n7jezy5lscd95v5nBhMlT4OpaRsTUX+5G6HVs2bQBERH3EPf2LRYuWY5G/9/u7OxsrFy2BJcuhuDVq1cwMjJCrdreGD4yAFZW1p955q/X3l07sXd3sNL7vP/Awbnv8/j4OCxbtABXf7uM5ORkuLt7YsyESbB3cBQxtTBWrViG1SuXK42Zm1vg7IXLIiVSr107tyNo0wbEvX0LF9cyGDt+Itw9PMWO9Y94lbPEsFYVUdXRFLamxdB98QUcvfHhQFFtqQSTvq2KZlXt4GBlhKS0LITce4Ppu8Lw+n06AKC0hSFuL/It8Ln7LLuIQ9deAgBMiulgTg9PtHAvCQA4djMK47aGIiktWw1bqRo5OTlYvXIZjv76C+Lj4mBhaYm2vu0wYOBgaGkV3n2zYTdDEbx1Ex4+iEB83FvMmr8E9Ro2yV0ecvYUDh/Yg0f3I5CY+B4btu1FmXLl8z1P+J0wrFu1FPfD70JbWxuuZcth/pLV0NPXV+fmFDkTJkxAQECA0pienl6+9V6+fIkRI0bg5MmT0P+b10QiUT5uRKFQ5Bv72D9Z578ovJ+qr8xPUybj6m9XMDNwHvYc+AVe3nUwaEAfvHnzRuxoKmFtbY1h/qOwdedebN25FzVq1kbAiCF4+uSx0nrnzp5G+N07sLSyEimp6qWnp6FsuXIYP3FKgcuDNq7Dti2bMH7iFGwP3gsLCwv8MKAPUlNT1JxUtdLT01G2XHmMn/hjvmUZGRm4HxGBAQMHY+fufViweBkiXzyH/9DBIiRVHStrGwz1D8CWnXuwZeceeNasjVEjhuLpk8dQKBQYPWIool69xIIlK7B9137Y2Nlh8Pd9kZ6WJnZ0Qbi4lsGZ85dyb3sP/iJ2JLU4fuwo5s0JxIDvf8CuvQfh7u6BwQMHICY6Wuxo/4ihnjbCIxMwbktovmUGutqo6miKnw+Go9HkY+i15CJcbYyxfeRfO5Gi4tNQfuh+pVvgvjtIycjG6dsxueutG1wHlR1M0XH+eXScfx6VHUyxepC3WrZRVTZtWIe9u4MxfuIU7D98FP4BY7B50wbs3L5V7GhfJCM9HS5ly8F/zMSCl2eko3KV6hg41P+TzxF+Jwxjhg9CjVreWBO0E2s2B6N9p66QFOKC7N+QiHjT09ND8eLFlW4FFR43btxAbGwsPDw8oK2tDW1tbYSEhGDp0qXQ1tbO7XR83LmIjY3NXWZjY4OsrCwkJCR8ch1VYsdDBTIyMnDm9EksWroSHp41AAA/DBmGc2dPY8+uHRg6fKTICb9c/YaNle4PGT4Se3cH4+6d23D5/5792DdvMG/2DCxfvR4jhg4UI6Yg6tZrgLr1GhS4TKFQYPvWLej//SA0afZhfuSM2XPRuIE3jv16BN926qLOqCpVt1591C2gowUAxsbGWL1+o9LYuAmT0f27joiJiYatrZ06Iqpc/YaNlO4PGe6Pff9/n2tra+PundvYtf9w7nt+/KQp8GlYByeO/Qq/Dh3FiCwobakUFpaWYsdQu62bN6Fdhw5o/+2H13TshEm4cuUSdu/aiREjR4mc7vNO34nB6TsxBS5LTs9G+7nnlMbGbQnFmenNUdK8GKLi0yBXKBCbmKG0TiuPUjj4eyRSM3MAAGXtiqNpVTs0m3YCN57GAwD8N/yOk9O+gauNMZ68TkZhcOd2GBo2aoL6DRoCAEqWLIXjR39FxL1wcYN9odp16qF2nXqfXP5Ny7YAkNvdLcjyRfPQoXM3dO/dP3estL2D6kLSF2vSpAnu3r2rNNanTx+UL18e48aNg7OzM2xsbHDq1ClUr14dAJCVlYWQkBDMnTsXAODh4QEdHR2cOnUKnTp1AgDExMQgPDwc8+bNU3nmolG2Ckwmy4FMJstXjerr6+PWzZsipRKOTCbDiWO/Ij09DVWqVgMAyOVy/DhxLHr07pf7o6woiHr1CnFxb+HlXTd3TFdXF56eNRAWdkvEZOqXnJIMiUQCY+PiYkdRiY/f59lZH6aP5P2cS6VSaOvoIOyW5n3OAeBF5As0bVgXLXwaY+zokXj18qXYkQSXnZWF+xH3lD7TAODlXQe3NfQzXbyYDuRyBZJSswpcXtXRFFUczbAt5GnuWA1XCySmZuUWHQAQ+jQeialZqFmm8BSr1d098PvvV/Hi+TMAwMMHD3Dr5g3UrV/wzqaiIuFdPCLC78DUzAw/9O0G32/qY9j3vXEnTDO/6wqiJZGIdvunjI2N4ebmpnQzNDSEubk53Nzccq/pMXv2bBw4cADh4eHo3bs3ihUrhq5duwIATExM0K9fP4waNQpnzpzBrVu30L17d1SuXDnfweqqwI6HChgaGqFK1epYu3olnJydYW5ugeNHj+Dunduwd9CcvQOPHz1Enx7fISsrEwbFiuHnxcvh7OIK4MN0I6m2FN916yFySvWKi3sLADAzN1caNzO3KDTTMlQhMzMTSxctQIuWrWFkZCR2nC/y5NEjpff5/MXL4OziipzsbNja2WH5kkWYOGUaDAwMsH3LZsTHxeW+DzRJ5SpVMGv2XDg4OiI+Ph7r1qxCz25dsP/wEZQoYfr5JyikEt4nQCaTwfyjz7S5uYVGvs56OlqY0qka9v72HMkZOQWu072BCx5GJeLa47jcMSsTfbxNysi37tukDFiVKDzz//v0G4CU5GT4tWkBqVQKmUyGocNHokXL1mJHE1V01IdjgjatW4nBw0fDtVx5nPj1MEYO7oeg4IPsfBQiY8eORXp6OgYPHoyEhATUqlULJ0+ehLGxce46ixYtgra2Njp16oT09HQ0adIEQUFBkEqlKs8jauExbNgwdOrUCfXqfbod+DmZmZn5TjEm19IrcC6ckGYFzsO0KRPh07g+pFIpyleoiBYtW+PB/Qi15hCSo5MTdu45gOTkJJw5fRJTJ4/Huo1bkZmZgeDtW7F91z5BDkQqDAo+cEukMGqWnZ2N8WMCoFAoMOHHqWLH+WIOTo7YsWc/kpOTcfb0SUybPAFrN26Bs4sr5i1cihlTJ6Nx3dqQSqWoWcsL3nX/+/fX1yzv9MIyAKpUrYbWzZvh8MGD6Nm7j3jB1OS/HIxZ2GhLJVg/pA60tCQYE3S9wHX0daT41ssRPx/KP/VIUcD6EokEioIWfKVOHDuKX48cRuDcBXBxdcXDB/cxf24gLK2s0Na3ndjxRCOXywEAbdt1RMu2H/47lC1XATeuX8XRw/sxcGjhn0Kuqc6fP690XyKRYNq0aZg2bdonH6Ovr49ly5Zh2bJlwoaDyIXHihUrsHLlSri4uKBfv37o1asXbGxs/tVzBAYG4qefflIamzh5KiZPmabCpJ9X2t4eG4K2IT0tDSmpKbC0tMLYUf6wK1lKrTmEpKOjm7uXo2KlyogID8fO7Vvg5OSCd+/i0eqbv44DkclkWLRgLnZs34wjx8+KFVlwFhYfphTEx8XB0vKvA+oT3sXDzNxCrFhqk52djXGjRiLq1Sus3RhU6LsdwMfvczdEhN/Fzu1bMWnKT6hQsRJ27DmAlORkZGdnw9TMDL26dkbFSpVETi28YsWKoUzZsoiMfC52FEGZljCFVCpFXFyc0vi7d/Ew16DPtLZUgo1D68LB0gi+gWc+2e1oW7M0DPSkCL70TGk8NjEDVsXzdzYsjPXwNjF/J+RrtWjBPPTp/z2at2wFAChTthxiYqKxcf2aIl14mP//3zZHJxelcQdHZ7wR4BSrXyPN2s3w9RD9GI+TJ0+iZcuW+Pnnn2Fvbw9fX18cOXIkt9r+nAkTJiAxMVHpNmbcBIFTf5pBsWKwtLRCUmIirly5hIaNm3z+QYWUQqFAVlYWWrZpi+C9h7Bj94Hcm6WVFXr07oflq9aLHVNQJUuVgoWFJX777a9TjGZnZyE09DqqVasuYjLh/Vl0REa+wOr1mzR2+o1C8WHef15GxsYwNTND5IvnuB8RjgaNNPdz/qesrCz88cfT3GJbU+no6qJCxUq4ekX5tMFXr1xBVQ35TP9ZdLjYGKPdnLNISCn42A7gwzSr4zejEJ+sPLPg+pM4mBjqwt35rylpHi7mMDHUxbXHhWdKWkZGRr459VpaUsjlhahtIwBbu5KwsLRC5IvnSuOvIl/AxtZWnFCkEUQ/xqNy5cpo0qQJ5s+fjwMHDmDjxo3w8/ODtbU1evfujT59+sDV1fWTj9fTyz+tKl2EU4hfuXwRCoUCjo5OiIyMxKIF8+Do6ARfv/bqDyOA5UsWok7d+rC2sUFqaipOHj+KG6HXsGzVOpQoYZrvR6e2tjYszC3g6OQsUmLVSUtLRWRkZO79qKhXePDgPkxMTGBra4duPXpiw7o1cLB3hL2DA9avWwMDfX20aFW45winpaXi5Ufb/fDBfRQ3MYGlpRXGBIzAg4gILFmxGnK5LHf+u4mJCXR0dMWK/UVWLFkE77r1YG1ji7TUVJz4//t86aq1AIDTJ4+jhKkZbGxt8eTxIyyYOxsNGjVBbe86IidXvQXz56JBw0awsbXFu3fvsG71KqSmpKCtn+bvBe7Rqw8mjR+Lim5uqFq1Ovbt2YWYmBh07Fw4zlJnqKcNJ+u/uo8OloZwsy+BhNQsvE5IR9CweqjqaIouC0Mg1ZLAyuRD5yIhJQvZsr92+jlZGcG7nBU6/3w+3994FJ2E07ejsbhfTQRsvAYAWNS3Jo7fiio0Z7QCPpzJbv261bCxtfsw1er+fWzbsgm+7TqIHe2LpKWlIerlX9/fMdFRePzwAYqbmMDaxhZJiYl48zoGcXGxAIDIFx86WmbmFjC3sIBEIkGX7n2wae0KuJYtB9ey5XH8yCG8ePEM0+cuFGWb1I4tD0FIFArxZmNqaWnh9evXsPromg+RkZHYuHEjgoKC8PLlS8hksn/1vGIUHieOH8WyxQvx5s1rmJiUQJNmPhg6fKTSwTtCkwm4h2b61Em49vtviHv7FkZGxihTthx69e2P2l4F/+Bq3bwxunbrpZYLCEq1hP12uH7tdwzo2zPfeBvfdpgxa07uBQT37dmFpKREVK5SFRMmTYFrmbKC5lIUOMNadUKv/Y4BffO/fm18/TBo8FC0+qbgs12s27gZnjVrCZZL6Pf59d+v5nmfl0XPPO/z4O1bsTVoI+Lj42FhaYFWbXzRf+APaim0dKTqbVCPHT0SN0OvIyHhPUzNTFGlSjUMGTYCLn+zI0iT7Nq5HUEbN+Dt21i4limLMeMm5J4uXR3s+uz4z4+tU94Kv0zK//nccfEPzN1/95MXB2wz6zQuP4jNvT+5Y1V0ruOIKiMPFXjcRglDXczp4YEW7h+mFB+7+Qpjt3zZBQSjNnb9z4/9Lz6++K+lpRWat2yFgT8MUesOlCQV/3C5deMaRgzqm2+8eStfTJw2C8d+OYjA6ZPzLe894Af0/X5I7v1tQetxYM9OJCclwaVMWfwwfBSqVHNXWU7r4joqey5Vu/r0vWh/u7ZLCdH+ttC+ysLjTwqFAqdPn0azZs3+1fOKUXh8DYT8QfY1E7rw+FoJXXh8rYrq+1zdhQeJ60sKj8JM3YXH10LVhUdhwcKjYJpceIg61crBweFvT9UlkUj+ddFBRERERPQlJJxrJQhRC49nz559fiUiIiIiIir0RD+4nIiIiIjoa6Jhl+35anDSMBERERERCY4dDyIiIiKiPNjwEAY7HkREREREJDgWHkREREREJDhOtSIiIiIiyotzrQTBjgcREREREQmOHQ8iIiIiojx4AUFhsONBRERERESCY+FBRERERESC41QrIiIiIqI8eOVyYbDjQUREREREgmPHg4iIiIgoDzY8hMGOBxERERERCY4dDyIiIiKivNjyEAQ7HkREREREJDgWHkREREREJDhOtSIiIiIiyoNXLhcGOx5ERERERCQ4djyIiIiIiPLgBQSFwY4HEREREREJjoUHEREREREJjlOtiIiIiIjy4EwrYbDjQUREREREgmPHQ4Nk5sjEjiAKA12p2BFEIZMpxI4gCqm0aO6HSs8qmp9vfZ2i+fmO3tRV7AiiqD3zjNgRRHFxfCOxI9DHiuY/NYJjx4OIiIiIiATHjgcRERERUR68gKAw2PEgIiIiIiLBsfAgIiIiIiLBcaoVEREREVEevHK5MNjxICIiIiIiwbHjQURERESUBxsewmDHg4iIiIiIBMfCg4iIiIiIBMepVkREREREeXGulSDY8SAiIiIiIsGx40FERERElAevXC4MdjyIiIiIiEhw7HgQEREREeXBCwgKgx0PIiIiIiISHAsPIiIiIiISHKdaERERERHlwZlWwmDHg4iIiIiIBMeOBxERERFRXmx5CIIdDyIiIiIiEhwLDyIiIiIiEhynWhERERER5cErlwuDHQ8iIiIiIhIcOx5ERERERHnwyuXCYOGhIm/evMGShfNx+dJFZGZmwN7BEdOmz0LFSm5iR1OJnJwcbFizAieP/Yr4+DhYWFiiZRtf9O4/CFpa+Rtnc2dOw6H9ezBi1Dh07tZThMSqcyP0OrZs2oCIiHuIe/sWC5csR6MmTQEA2dnZWLlsCS5dDMGrV69gZGSEWrW9MXxkAKysrEVOrjqbNqzFiqWL8F23Hhg1diIAwLNqhQLXHT5yNHr27qfOeCr1d683AKxesQwnjh/F69evoaOjgwoVK2HocH9UrlJVxNRfLjb2DVYsWYDfLl9EZmYm7O0dMGnqTJSvWAkAkJaWipVLFyHk3BkkJb6HjV1JdOrSHR06dRE5uWq18GmMmOiofOOdunTFxMlTRUikHruDd2D3rp2Ijvqw7S6uZTDwh8GoW6+ByMn+OXeHEujlbY8KdsVhZayHkcG3ce5BnNI6gxo6ob1HSRTX10Z4VBICf32Ip29TAQB2JfRx1L9Ogc89ZvddnIqIBQD0r+eIemXNUdbGGDkyOerNuSDshqlYQd/nAPDsj6dYungBbt64DoVcDmcXV8yZvwg2tnYipiVNw8JDBZISE9G7x3eoUbMWlq9eBzMzM7x6+RLGxsXFjqYy24I24OC+3Zj802w4u7jifkQ4Zk+bDEMjY3Tu2kNp3ZBzZxARfgcWllYipVWt9PR0lC1XHm392mP0yOFKyzIyMnA/IgIDBg5G2XLlkJSUhJ/nBsJ/6GDs2L1PpMSqdS/8Lg7s3Y0yZcspjR8/o/yP7ZVLFzFj2mQ0buqjzngq93evNwA4ODpi3MQfUapUaWRmZmDbls0Y/H0/HDp6EmZmZiIk/nJJSYn4vnc3eNSoiUXL18DUzBxRLyNhZGycu87in+fiZujvmDZrLmztSuLab5cxP3AGLC0tUb9RExHTq9b24L2Qy2W59588foxBA/qgmU9zEVMJz8raBiNGjkZpe3sAwC+HDmLE0CHYte8AXF3LiJzunzHQkeLRmxQcCovBws5V8i3vXccB3b3sMeVgBF7Ep2FAfSes6lkdfst+Q1qWDK8TM9Dk54tKj+ngURK969jj0pP43DEdqQSn7sXi9stEtHMvXD/KP/V9/uplJPr37oa27Tpg4A9DYWRsjOd/PIWurp5IScXHhocwWHiowKaN62BjY4PpMwNzx0qWLCViItULv3Mb9Ro0Rp3/7/2ytSuJ08eP4kHEPaX13sa+wcK5s7BoxVqMHv6DGFFVrm69+qhbr36By4yNjbF6/UalsXETJqP7dx0RExMN20K+pygtLRU/ThiDSVOnY8O61UrLLCwsle6HnD8Lzxq1UKpUaXVGVLm/e70BoEWrNkr3R40dj4P79+Lxo4eoVdtL6HiC2LppA6xtbPDjT7Nzx+zsSiqtE34nDC1b+8HDsyYAwK9DJxzYtxv3I+5pVOHxcfG4cf1alC5tD88aNUVKpB4NGzVWuj9sxEjsDt6JO7fDCk3hcflJPC7nKRA+1q12aay/8Bxn778FAPx44B7OjqmHFpVtsO9GFOQKID4lS+kxjctb4kR4LNKz/ipGV51/BgBoW81WgK0Qzt99n69YthjedetjxMgxuWOF/bucvk48uFwFQs6dRcVKbhgdMByN6nuh87d+2Ld3t9ixVKpK9eoIvXYVkS+eAwAeP3qA22G34FW3Xu46crkcP00ej649+8DZxVWkpOJLTkmGRCLRiI7X3NkzUKd+A9Sq7f2368XHx+HSxRD4tuugpmRfh+zsLOzfswtGxsYoW6682HH+s4shZ1GhohsmjvFHi8Z10bNLexzcv0dpnarV3HEx5BxiY99AoVDgxvXf8fLFc9TyLnhqiibIzs7C0SOH4duuAyRFaMK3TCbDsaO/Ij09DVWrVhc7jkqUNNWHpbEefnv6V2GSLVMg9Pl7VCttUuBjKtgao7ytMQ7eilZXTEF96vtcLpfj8sUQODg4Yuig/mjWsA56deuM82dPi5SUNJnoHY9ly5YhNDQUrVq1QqdOnbB161YEBgZCLpejffv2mD59OrS1Px0zMzMTmZmZSmNyLT3o6amvPfjq1Uvs2bUT3Xv2Qf8BgxB+9w7mBc6Ero4u2vj6qS2HkHr07o/UlBR81741tKRSyGUyDBwyAj7NW+Wusy1oA6Ta2uj0XXcRk4orMzMTSxctQIuWrWFkZCR2nC9y4tiveHA/Alt27PnsukcOH4RhMUM0atJMDcnEd+H8OYwfMwoZGemwsLTE6rUbYWpqKnas/yw66hX27wnGd917oVe/7xERfheL5s2Gro4uWrbxBQAEjJuIwOlT0fabRpBqa0NLIsHEKTNQrbqHyOmFc/bMaSQnJ6OtXzuxo6jF40cP0aNrF2RlZaJYsWJYtHQFXFw1YyeShdGH3wTvUpU7Gu9Ss2Brol/gY9q52+Hp21TcfpkoeD6h/d33+bt38UhLS0PQxvX4YehwDPMfhd8uX8KYgOFYvT4ot8tZ5BSdfQ1qJWrhMWPGDMyfPx8+Pj4YMWIEnj17hvnz52PkyJHQ0tLCokWLoKOjg59++umTzxEYGJhv+cTJUzF5yjSB0/9FLlegYiU3DPcPAACUr1ART588wZ7dOzWm8Dh98hhOHD2CabPnwdnZFY8ePsCSBXNgYWmJlm388CDiHnbv3IpNO/YWqT2DeWVnZ2P8mAAoFApM+LFwH4T6+nUMFswLxPLV6/9REX/44H40b9larQW/mGrUrIXgfQfwPiEB+/fuwdjR/ti6YzfMzM3FjvafyOVyVKjohh+GjQQAlCtfEX88fYL9e4JzC4/dO7ch/O5tzF+8Aja2dgi7GYr5gdNhbmGBmp/piBVWB/fvQ5269TXqRBF/x9HRCbv3HURychJOnzqJHyeOw4agbRpTfACAQqF8XwJAUcB6etpaaFHZGmtDnqshlbA+932ukH/4L9CgUWN069EbAFCufAXcvn0L+/bsKrqFBwlC1MIjKCgIQUFBaN++PW7fvg0PDw9s3rwZ3bp1AwCUL18eY8eO/dvCY8KECQgICFAak2up98ePpaUlXFxclMacnJ1x+vQJteYQ0orFC9Cjdz80+6YlAMClTFm8fh2NLZvWo2UbP9y+dQMJ796hfcu/zv4jk8mwbNF87NqxFft/PSVWdLXIzs7GuFEjEfXqFdZuDCr03Y4HEffw7l08enz3be6YTCbDrRuh2B28A1eu34ZUKgUA3LoZihfPnyFw3kKx4qqdQbFisLd3gL29A6pUrYa2Lb/Bgf170W/AQLGj/ScWFpZwdFb+DnN0csH5Mx8+txkZGVi1bDHmLlyWe5xXmbLl8OjhA+zYGqSRhUd0dBR+v3oFCxYvEzuK2ujo6sLewQEAUMmtMu6F38X2bVswZdp0kZN9ubiUDzMjzI10EZfnOA5TQ128++i4DgBoWtEK+jpSHLkdo7aMQvnc9/nFqzch1daG00ffAU5OzggLu6nuuF8NXkBQGKIWHjExMfD09AQAVK1aFVpaWqhWrVrucnd3d0RH//3cSj29/NOq0rNVHvVvVa3ujufPnymNvXjxHLa2JT/xiMInIyMdko9OmyvVkkIhlwMAmrdqC89aygfWjhzyPZq3aoNWbTV7msKfRUdk5Aus3bgZJUoU3ik3f6pRywvBew8pjU2fOgkOjk7o1ad/btEBAIcO7EOFipUK9TEOX0yhQHZW/h8vhUWVau6IfKH8HfYy8nnuaTRlOTnIycnJ182USrUg//93gKY5dGA/zMzMUa9+Q7GjiEZRyN/XeUUlZOBtcia8XMzw8HUKAEBbKoGnYwksPvU03/rt3O1w/mEcEtLU/INCAJ/7PtfV1UWlSm548dHvmMgXzwv9CVLo6yNq4WFjY4OIiAjY29vj8ePHkMlkiIiIQKVKH84bf+/ePVhZff2nZO3eoxd69/gO69euhk/zFgi/ewf79u7Gj1ML/16iP9Wt3xCbN6yFtY0tnF1c8ejBfQRv24xWvh+KCpMSJWBSooTSY7S1tWFubgEHRycREqtOWloqXkZG5t6PinqFhw/uo7iJCSwtrTAmYAQeRERgyYrVkMtliIv7cMYUExMT6OjoihX7ixgaGsK1TFmlMX0DA5QoUUJpPCUlBadPnoD/qLHqjiiYv3u9S5iUwPq1q9GgUWNYWFoi8f177A7eiTdvXqPZN4X3dKtduvfEgN7dELRhDZo0a46Ie3dxcN8ejP9xGgDA0MgI1T1qYPnin6Gnrw9bWzvcvHEdx44cxvCAceKGF4BcLsfhg/vRxtfvb48x1CRLFy9E3Xr1YW1jg7TUVBw/dhSh169h5Zr1Ykf7xwx0pbA3M8i9X7KEAcrZGCExPRuvEzOx/epL9KvniBfx6Yh8l4b+9RyRni3HsbuvlZ6ntJkB3B1KYOj2sAL/jo2JHkwMdGBjog8tiQTlbD50uCPfpSud/epr8U++z3v06osJY0fB3cMTnjVq4crlS7h44TzWrN8sRmTSYKJ+o3bt2hU9e/aEr68vzpw5g3HjxmH06NGIj4+HRCLBrFmz8O23337+iUTmVrkKFi5ejqVLFmLt6hUoWbIUxoybiFat24odTWVGjp2EdSuX4ufAGUhIeAcLSyv4duiIvt9rxilz/05EeDgG9O2Ve3/BvDkAgDa+fhg0eChCzp0FAHT51k/pces2boZnzVpqyymGk8ePQgEFmrdo9fmVC4m/e70nTfkJz589wy+Hh+N9QgJMSpRAJbfK2Lh5O1wKySlHC1KxUmXMXbAUq5Ytwsa1q2BbshT8x4xH85Z/nTp45pyfsXLZIkybOBZJSYmwsbXDwCEj0L5jZxGTC+Pqb1cQExMNvyJ0lrb4+DhMGj8Wb9/GfjhLW9lyWLlmPbwK0VnLKtkZY33vv052MLr5hx/Vh8OiMeXgfQRdfgF9HS1MbFUOxQ20cfdVEn7YegtpHxULftXtEJuUid+evivw7wxu5Iy21f7qBOwa9OF7vn/QDYQ+f6/irVKPRk2aYcLkqQjauBY/z50NB0cnzF2wBNXcNffkEZ9TRA9XFZxEofj4UCv1kclkmDNnDq5evYq6deti3LhxCA4OxtixY5GWloY2bdpg+fLlMDQ0/FfPq+6pVl+LtKwcsSOIwkBX+vmVNJBMJtpHV1RSadH81yAzWzOnNH2Ovk7R/HwX1R89tWeeETuCKC6ObyR2BFEY63+9V3V4Epsu2t92tTL4/EqFlKiFh1BYeBQtLDyKFhYeRQsLj6KFhUfR8jUXHk9FLDxcNLjw+HpfcSIiIiIi0hgsPIiIiIiICqHAwEDUqFEDxsbGsLKygp+fHx4+fKi0jkKhwLRp02BnZwcDAwM0bNgQ9+7dU1onMzMTw4YNg4WFBQwNDdG2bVu8evVK5XlZeBARERER5SUR8fYvhISEYMiQIbh69SpOnTqFnJwc+Pj4IDU1NXedefPmYeHChVi+fDmuX78OGxsbNGvWDMnJybnr+Pv748CBAwgODsalS5eQkpKC1q1bQyZT7ZnaeIyHBuExHkULj/EoWniMR9HCYzyKFh7j8fV5+lbEYzws//sxHm/fvoWVlRVCQkJQv359KBQK2NnZwd/fH+PGfTj9eWZmJqytrTF37lwMHDgQiYmJsLS0xNatW9G584czFUZHR6N06dI4evQovvnmG5VsF8COBxERERGREomI/8vMzERSUpLSLTMz8x/lTkxMBACYmZkBAJ49e4bXr1/Dx8cndx09PT00aNAAV65cAQDcuHED2dnZSuvY2dnBzc0tdx1VYeFBRERERPSVCAwMhImJidItMDDws49TKBQICAhA3bp14ebmBgB4/frDBTKtra2V1rW2ts5d9vr1a+jq6sLU1PST66hK0bgkKxERERHRPyTmdMcJEyYgICBAaUxPT++zjxs6dCju3LmDS5cu5Vsm+WiDFApFvrGP/ZN1/i12PIiIiIiIvhJ6enooXry40u1zhcewYcNw+PBhnDt3DqVKlcodt7GxAYB8nYvY2NjcLoiNjQ2ysrKQkJDwyXVUhYUHEREREVEhpFAoMHToUOzfvx9nz56Fk5OT0nInJyfY2Njg1KlTuWNZWVkICQmBt7c3AMDDwwM6OjpK68TExCA8PDx3HVXhVCsiIiIiojwKy4nlhgwZgh07duDQoUMwNjbO7WyYmJjAwMAAEokE/v7+mD17NsqUKYMyZcpg9uzZKFasGLp27Zq7br9+/TBq1CiYm5vDzMwMo0ePRuXKldG0aVOV5mXhQURERERUCK1atQoA0LBhQ6XxTZs2oXfv3gCAsWPHIj09HYMHD0ZCQgJq1aqFkydPwtjYOHf9RYsWQVtbG506dUJ6ejqaNGmCoKAgSKWqPaU5r+OhQXgdj6KF1/EoWngdj6KF1/EoWngdj6/P8/gM0f62o7m+aH9baF/vK05ERERERBqDhQcREREREQmOx3gQEREREeUhKTSHlxcu7HgQEREREZHg2PEgIiIiIsqjqJ7gQWjseBARERERkeDY8SAiIiIiyoMND2Gw40FERERERIJj4UFERERERILjVCsiIiIiojx4cLkw2PEgIiIiIiLBseNBRERERKSELQ8hSBQKhULsEKqWni12AiLhaeBH9x/JzJGLHUEU+jpSsSOIoqhOd8jMLprvcx3tovmCO/2wV+wIonizvqPYET7pVUKWaH+7lKmuaH9baJxqRUREREREguNUKyIiIiKiPIpqt1Vo7HgQEREREZHg2PEgIiIiIsqDDQ9hsONBRERERESCY8eDiIiIiCgPHuMhDHY8iIiIiIhIcCw8iIiIiIhIcJxqRURERESUh4SHlwuCHQ8iIiIiIhIcOx5ERERERHmx4SEIdjyIiIiIiEhwLDyIiIiIiEhwnGpFRERERJQHZ1oJgx0PIiIiIiISHDseRERERER58MrlwmDHg4iIiIiIBMeOBxERERFRHryAoDDY8SAiIiIiIsGx8CAiIiIiIsFxqhURERERUV6caSUIdjyIiIiIiEhw7HgQEREREeXBhocw2PEgIiIiIiLBsfAgIiIiIiLBcaqVCrTwaYyY6Kh84526dMXEyVNFSKQeOTk5WL1yGY7++gvi4+JgYWmJtr7tMGDgYGhpaW5NWxRe7w3r1+Ds6VN4/uwP6Onro2rV6hgxchQcnZxz1zlz+iT27dmF+xH38P79ewTvOYBy5SuImFo1/Fo2xeuY6HzjHTp9h5Gjx2P1yqX47dIFRL16BSMjI9So5YXBwwNgaWUlQlphvXnzBksWzsflSxeRmZkBewdHTJs+CxUruYkdTXC7dm5H0KYNiHv7Fi6uZTB2/ES4e3iKHUsl1q5ajvVrViiNmZlb4PiZiwCAmtUK/hwP8x+NHr37CZ5PSDdCr2PLpg2IiLiHuLdvsXDJcjRq0rTAdWf+NAX79uzG6HET0K1HLzUn/edql7HAkOblUMXBFDYlDNB7+WUcC/vwHaYtlWC8nxuaVraFg6UhktKzcSHiDWbuu4s3iRkAgBKGOhjbthIaVLKBnakB3qVk4XhYFOYcDEdyek7u33G2NsLUb6ughqsFdLW1cD8qEXMOhOPyw7eibLfQeOVyYbDwUIHtwXshl8ty7z95/BiDBvRBM5/mIqYS3qYN67B3dzCmz5oLF1dXRNwLx9TJE2BkZPxVf0l/qaLwet8MvY7OXbqikltl5MhkWLF0EX4Y2B/7Dx6BQbFiAID09HRUreaOpj7NMWPajyInVp1N23Yrvb5PnzzG8B/6o3Gzb5CRkYGH9yPQZ8AglClbHslJSVj0cyDG+A9B0I49IqZWvaTERPTu8R1q1KyF5avXwczMDK9evoSxcXGxownu+LGjmDcnEJN+nIpq1d2xd3cwBg8cgAOHf4WtnZ3Y8VTC2cUVy9dszL0v1ZLm/v+jpy8orfvbpYuY+dNkNG7qo7Z8QklPT0fZcuXR1q89Ro8c/sn1zp05jbt37hSKHQrF9LRx7+V77Lz8HJsGeystM9CVooqDKRYeicC9l+9RwlAXMzpXw5ZhdfDNzDMAABsTA1iXMMBPe27jYXQSSpsXw7zuHrA2MUD/1b/lPtf24XXx9E0Kvl0QgvQsGb5vWgbbhtdFzQlH8TYpU63bTIUXCw8VMDMzU7q/cf1alC5tD88aNUVKpB53boehYaMmqN+gIQCgZMlSOH70V0TcCxc3mMCKwuu9YvV6pfvTZgSiSQNvRETcg4dnDQBA6za+AIDoqFdqzyck049e3y2b1qNU6dJw96gBiUSCZas3KC0fNW4S+nbvjNcx0bCx1YwfpQCwaeM62NjYYPrMwNyxkiVLiZhIfbZu3oR2HTqg/bcdAQBjJ0zClSuXsHvXTowYOUrkdKohlWrDwsKywGUfj4ecPwuPGrVQslRpdUQTVN169VG3Xv2/XSf2zRvMmT0DK9esx7DBA9WU7L87G/4aZ8NfF7gsOT0HnRYqF5ITd97CiclNUdLMAFHv0vEgOgn9Vv1VYLx4m4rAA+FY0b8mpFoSyOQKmBnpwtnaGP5BoYh4lQgAmLnvLvo2dkV5OxO8TYoVbgNFwiuXC0PU+TAxMTGYMmUKGjdujAoVKsDNzQ1t2rTBhg0bIJPJPv8EX6Hs7CwcPXIYvu06QKLhfbrq7h74/ferePH8GQDg4YMHuHXzBurWbyByMvUpKq93SkoyAMDExETkJOqVnZ2F40d/QWvf9p98fVOSkyGRSDSuExBy7iwqVnLD6IDhaFTfC52/9cO+vbvFjiW47Kws3I+4By/vukrjXt51cDvslkipVO9l5Au0bFYfvi2bYtK4AES9elngevHxcbh8KQRt/TqoOaE45HI5Jk8Yi169+8HFtYzYcQRR3EAHcrkCiWnZn16nmA6SM3IgkysAAO9SsvAwOgmdvBxQTFcKqZYEPRs4IzYxA7dfJKgrOmkA0ToeoaGhaNq0KZycnGBgYIBHjx6hW7duyMrKwujRo7FhwwacOHECxsbGf/s8mZmZyMxUbvHJtfSgp6cnZPxPOnvmNJKTk9HWr50of1+d+vQbgJTkZPi1aQGpVAqZTIahw0eiRcvWYkdTm6LweisUCiyYPwfV3T3gWqas2HHUKuTcGaQkJ6NVm4Jf38zMTKxcugg+LVrB0MhIzemE9erVS+zZtRPde/ZB/wGDEH73DuYFzoSuji7a+PqJHU8wCe8TIJPJYG5urjRubm6BuDjNmMvuVrkKps2cA3sHR7yLj8PGdavRr1dXBO87jBIlTJXW/fXwQRgWM0SjJs1ESqtemzasg1QqxXfde4gdRRB62lqY1KEy9l+LREpGToHrmBrqYmTrCtga8lRpvNPCEGweWgdPl7eDXKHA26RMdFl8AUnpny5gCjMN3pcoKtE6Hv7+/hg5ciRu3bqFK1euYPPmzXj06BGCg4Pxxx9/ID09HZMnT/7s8wQGBsLExETpNn9u4GcfJ5SD+/ehTt36sLKyFi2Dupw4dhS/HjmMwLkLsHP3fsyYNQdbgjbi8KEDYkdTm6Lwes+ZNQOPHz1E4NwFYkdRu18O7kftOvUKnOedk52NH8ePglwhx9gJU0RIJyy5XIHyFSphuH8AyleoiG87dUH7Dp2wZ/dOsaOpxccdLoVCoTFdTe+69dG4qQ9cy5RFzdreWLR8NQDg118O5Vv3l0P78U3L1qLtzFOniHvh2LltK36aFagxr3Ve2lIJ1gysDS2JBOO23SxwHSN9bWwfXhePopPw8y8RSsvmdnNHXHIm2s47h+azzuB4WBS2DasLKxN9dcQnDSFa4XHz5k306PHXHoWuXbvi5s2bePPmDUxNTTFv3jzs3bv3s88zYcIEJCYmKt3GjJsgZPRPio6Owu9Xr6Bdh29F+fvqtmjBPPTp/z2at2yFMmXLoXVbP3Tv2Qsb168RO5paFIXXe87sGQg5fxbrNmyBtY2N2HHUKiY6Ctd//w2+BUwxycnOxqRxAYiOisKyVRs0rtsBAJaWlnBxcVEac3J2RkwBZ/zSJKYlTCGVShEXF6c0/u5dPMzNLURKJSwDg2JwdS2Dl5HPlcZv3QzFi+fP4NtOc7/j8rp18wbevYtHy2aN4Vm1EjyrVkJMdDQWzp+Llj6NxY73RbSlEqwb6AV7C0N0WnihwG6HoZ42gv3rITUzB31WXEGOTJG7rF55KzSraoeBa67i+pN43I18j/HbbyEjW4bO3g7q3BQq5ESbamVlZYWYmBg4O384PeebN2+Qk5OD4sU/zJMuU6YM3r1799nn0dPLP61KrK7foQP7YWZmjnr1G4oTQM0yMjKg9dFeIS0tKeRyxSceoVk0+fVWKBSYO3sGzp49jXUbt6BkqaJxUHFeRw4fgKmZGbzrKR+z9GfR8TLyBVasDYJJiRLiBBRY1erueP7/47f+9OLFc9jalhQpkXro6OqiQsVKuHrlMpo0/Wt60dUrV9CwcRMRkwknKysLz5/9gWruHkrjhw/sQ/mKlVC2XHmRkqlXqzZtUau2l9LY4IH90aqNL3wL8XTaP4sOZ2sjtJ9/HgmpWfnWMdLXxq6R9ZGZI0PP5ZeRmSNXWm6g9+GsZ3KF8r/vcgXy/Q4g+juiFR5+fn4YNGgQ5s+fDz09PcyYMQMNGjSAgYEBAODhw4coWbLw/AMnl8tx+OB+tPH1g7Z20ThZWP2GjbB+3WrY2NrBxdUVD+/fx7Ytm+DbTvMPQtT01ztw1nQcO3oEi5asgKGhYe7cdiMjY+jrf2irJya+x+uYGMTGfjibyZ8/Us0tLD55tpzCQi6X49dDB9CytfLrm5OTgwlj/PHwwX0sWLIScrkM8f//b1PcxAQ6OrpiRVa57j16oXeP77B+7Wr4NG+B8Lt3sG/vbvw4dbrY0QTXo1cfTBo/FhXd3FC1anXs27MLMTEx6Ni5i9jRVGLJwnmoV78hrG3tkPAuHhvXrUZqagpatfHLXSclJQVnTp3AiFFjxQsqgLS0VLyMjMy9HxX1Cg8f3EdxExPY2trlO8ZFW1sbFhYWStcw+toU05PCyeqvrqu9pSEqlTbB+9QsvH6fgQ2DvFDZwRTdl16ClpYElsU/7Kx9n5qFbJkChnra2D2yPgz0pBi8/ncY6WvDSP/D9158cibkCiD0aTzep2ZhWd+aWPBLBDKyZehezxn2FoY4dSdGlO2mwkmiUChE2T2dkpKCfv36Yf/+/ZDJZPDy8sK2bdvg5OQEADh58iQSExPRsWPHf/3cYnQ8rly+hMED++HQkeNwcHRSfwARpKamYMWyJTh35jTevYuHpaUVmrdshYE/DNGoH2AF+RpebyE/utUrF7yH86cZs9HWrz0A4PDB/Zj648R86wz8YQgGDR4mWLaP98QJ4fffLmPE4AHYffAo7B0cc8ejo6PQvlXBB9muWBcED0/hTqmsryP9/EoqduH8OSxdshCRL56jZMlS6N6rDzp820mtGcTambpr53YEbdyAt29j4VqmLMaMm5B7Kml1yMwW7n0+aVwAbt0MxfuE9zA1NYVblaoYOHg4nF1cc9c5sHc3Fv4ciGOnLsDoMyd5USUdbWFf8NBrv2NA3/zXmWrj64fps+bkG2/p0xjdevQS/NpUTj98fmr5p3iXs8SBMQ3zjQdffo6fD99D6NxWBT6u3fzzuPLw7ScfDwCe437Fy/g0AEBVB1NMaOeGqo6m0JFq4WF0Ehb8EvHJU/n+E2/W//vfeOryPl28s6uWMFD/9726iFZ4/CkjIwM5OTkwUuEcaQ09wQKREpE/uqJRR+HxNRKj8PgaFNVZHEIWHl8zoQuPr9WXFB6FGQuPgmly4SH6HJE/p20QEREREZHmEr3wICIiIiL6mvDK5cIQ9crlRERERERUNLDjQURERESUR1E9vkxo7HgQEREREZHg2PEgIiIiIsqDDQ9hsONBRERERESCY+FBRERERESC41QrIiIiIqK8ONdKEOx4EBERERGR4NjxICIiIiLKgxcQFAY7HkREREREJDgWHkREREREJDhOtSIiIiIiyoNXLhcGOx5ERERERCQ4djyIiIiIiPJgw0MY7HgQEREREZHgWHgQEREREZHgONWKiIiIiCgvzrUSBDseREREREQkOHY8iIiIiIjy4JXLhcGOBxERERFRIbVy5Uo4OTlBX18fHh4euHjxotiRPomFBxERERFRHhKJeLd/Y9euXfD398ekSZNw69Yt1KtXDy1atEBkZKQw/2G+EAsPIiIiIqJCaOHChejXrx/69++PChUqYPHixShdujRWrVoldrQCsfAgIiIiIvpKZGZmIikpSemWmZmZb72srCzcuHEDPj4+SuM+Pj64cuWKuuL+OwpSmYyMDMXUqVMVGRkZYkdRK243t7so4HZzu4sCbje3m8Q3depUBQCl29SpU/OtFxUVpQCguHz5stL4rFmzFGXLllVT2n9HolAoFKJWPhokKSkJJiYmSExMRPHixcWOozbcbm53UcDt5nYXBdxubjeJLzMzM1+HQ09PD3p6ekpj0dHRKFmyJK5cuQIvL6/c8VmzZmHr1q148OCBWvL+GzydLhERERHRV6KgIqMgFhYWkEqleP36tdJ4bGwsrK2thYr3RXiMBxERERFRIaOrqwsPDw+cOnVKafzUqVPw9vYWKdXfY8eDiIiIiKgQCggIQI8ePeDp6QkvLy+sXbsWkZGRGDRokNjRCsTCQ4X09PQwderUf9Qe0yTcbm53UcDt5nYXBdxubjcVLp07d0Z8fDymT5+OmJgYuLm54ejRo3BwcBA7WoF4cDkREREREQmOx3gQEREREZHgWHgQEREREZHgWHgQEREREZHgWHgQEREREZHgWHio0MqVK+Hk5AR9fX14eHjg4sWLYkcS1IULF9CmTRvY2dlBIpHg4MGDYkdSi8DAQNSoUQPGxsawsrKCn58fHj58KHYswa1atQpVqlRB8eLFUbx4cXh5eeHYsWNix1K7wMBASCQS+Pv7ix1FUNOmTYNEIlG62djYiB1LLaKiotC9e3eYm5ujWLFiqFatGm7cuCF2LEE5Ojrme70lEgmGDBkidjRB5eTkYPLkyXBycoKBgQGcnZ0xffp0yOVysaMJLjk5Gf7+/nBwcICBgQG8vb1x/fp1sWORhmPhoSK7du2Cv78/Jk2ahFu3bqFevXpo0aIFIiMjxY4mmNTUVFStWhXLly8XO4pahYSEYMiQIbh69SpOnTqFnJwc+Pj4IDU1VexogipVqhTmzJmD0NBQhIaGonHjxvD19cW9e/fEjqY2169fx9q1a1GlShWxo6hFpUqVEBMTk3u7e/eu2JEEl5CQgDp16kBHRwfHjh1DREQEFixYgBIlSogdTVDXr19Xeq3/vCBZx44dRU4mrLlz52L16tVYvnw57t+/j3nz5mH+/PlYtmyZ2NEE179/f5w6dQpbt27F3bt34ePjg6ZNmyIqKkrsaKTBeDpdFalVqxbc3d2xatWq3LEKFSrAz88PgYGBIiZTD4lEggMHDsDPz0/sKGr39u1bWFlZISQkBPXr1xc7jlqZmZlh/vz56Nevn9hRBJeSkgJ3d3esXLkSM2fORLVq1bB48WKxYwlm2rRpOHjwIMLCwsSOolbjx4/H5cuXNb5j/Tn+/v44cuQIHj9+DIlEInYcwbRu3RrW1tbYsGFD7liHDh1QrFgxbN26VcRkwkpPT4exsTEOHTqEVq1a5Y5Xq1YNrVu3xsyZM0VMR5qMHQ8VyMrKwo0bN+Dj46M07uPjgytXroiUitQlMTERwIcf4UWFTCZDcHAwUlNT4eXlJXYctRgyZAhatWqFpk2bih1FbR4/fgw7Ozs4OTmhS5cu+OOPP8SOJLjDhw/D09MTHTt2hJWVFapXr45169aJHUutsrKysG3bNvTt21ejiw4AqFu3Ls6cOYNHjx4BAG7fvo1Lly6hZcuWIicTVk5ODmQyGfT19ZXGDQwMcOnSJZFSUVHAK5erQFxcHGQyGaytrZXGra2t8fr1a5FSkTooFAoEBASgbt26cHNzEzuO4O7evQsvLy9kZGTAyMgIBw4cQMWKFcWOJbjg4GDcvHmzSM1/rlWrFrZs2YKyZcvizZs3mDlzJry9vXHv3j2Ym5uLHU8wf/zxB1atWoWAgABMnDgR165dw/Dhw6Gnp4eePXuKHU8tDh48iPfv36N3795iRxHcuHHjkJiYiPLly0MqlUImk2HWrFn47rvvxI4mKGNjY3h5eWHGjBmoUKECrK2tsXPnTvz+++8oU6aM2PFIg7HwUKGP9wwpFAqN31tU1A0dOhR37twpMnuIypUrh7CwMLx//x779u1Dr169EBISotHFx8uXLzFixAicPHky395BTdaiRYvc/1+5cmV4eXnBxcUFmzdvRkBAgIjJhCWXy+Hp6YnZs2cDAKpXr4579+5h1apVRabw2LBhA1q0aAE7Ozuxowhu165d2LZtG3bs2IFKlSohLCwM/v7+sLOzQ69evcSOJ6itW7eib9++KFmyJKRSKdzd3dG1a1fcvHlT7GikwVh4qICFhQWkUmm+7kZsbGy+LghpjmHDhuHw4cO4cOECSpUqJXYctdDV1YWrqysAwNPTE9evX8eSJUuwZs0akZMJ58aNG4iNjYWHh0fumEwmw4ULF7B8+XJkZmZCKpWKmFA9DA0NUblyZTx+/FjsKIKytbXNV0hXqFAB+/btEymRer148QKnT5/G/v37xY6iFmPGjMH48ePRpUsXAB+K7BcvXiAwMFDjCw8XFxeEhIQgNTUVSUlJsLW1RefOneHk5CR2NNJgPMZDBXR1deHh4ZF7FpA/nTp1Ct7e3iKlIqEoFAoMHToU+/fvx9mzZ4v0l7RCoUBmZqbYMQTVpEkT3L17F2FhYbk3T09PdOvWDWFhYUWi6ACAzMxM3L9/H7a2tmJHEVSdOnXynR770aNHcHBwECmRem3atAlWVlZKBxxrsrS0NGhpKf8UkkqlReJ0un8yNDSEra0tEhIScOLECfj6+oodiTQYOx4qEhAQgB49esDT0xNeXl5Yu3YtIiMjMWjQILGjCSYlJQVPnjzJvf/s2TOEhYXBzMwM9vb2IiYT1pAhQ7Bjxw4cOnQIxsbGuZ0uExMTGBgYiJxOOBMnTkSLFi1QunRpJCcnIzg4GOfPn8fx48fFjiYoY2PjfMfvGBoawtzcXKOP6xk9ejTatGkDe3t7xMbGYubMmUhKStL4vcAjR46Et7c3Zs+ejU6dOuHatWtYu3Yt1q5dK3Y0wcnlcmzatAm9evWCtnbR+HnQpk0bzJo1C/b29qhUqRJu3bqFhQsXom/fvmJHE9yJEyegUChQrlw5PHnyBGPGjEG5cuXQp08fsaORJlOQyqxYsULh4OCg0NXVVbi7uytCQkLEjiSoc+fOKQDku/Xq1UvsaIIqaJsBKDZt2iR2NEH17ds39/1taWmpaNKkieLkyZNixxJFgwYNFCNGjBA7hqA6d+6ssLW1Vejo6Cjs7OwU7du3V9y7d0/sWGrxyy+/KNzc3BR6enqK8uXLK9auXSt2JLU4ceKEAoDi4cOHYkdRm6SkJMWIESMU9vb2Cn19fYWzs7Ni0qRJiszMTLGjCW7Xrl0KZ2dnha6ursLGxkYxZMgQxfv378WORRqO1/EgIiIiIiLB8RgPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISHAsPIiIiIiISnLbYAYiIioIrV65g8ODBBS5r3rw5QkNDERcXV+Dya9euYfXq1di4cWOByydPngxPT0/4+fkVuLxKlSrYsmXLf8pNRESkKiw8iIjUICkpCX5+fpg2bZrS+PPnzzF+/HikpKQgLCws3+MaNmwIuVyO6OhoLF68GA0bNlRaHhQUhLi4OGRkZKBatWoICgrK9xy1a9dW3YYQERH9R5xqRUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgmPhQUREREREgtMWOwARUVFgYmKCI0eO4MiRI/mWffPNN3j//j08PT0LfKyWlhZKlSqF0aNHF7h84sSJMDAwQHh4eIHPUbly5S8LT0REpAIShUKhEDsEERERERFpNk61IiIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwbHwICIiIiIiwf0PrZ/ihZ1Ne0AAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lda = LinearDiscriminantAnalysis()\n",
    "lda.fit(X_train_scaled, y_train)\n",
    "lda_score = lda.score(X_test_scaled, y_test)\n",
    "print(f\"LDA准确率: {lda_score:.4f}\")\n",
    "y_pred_lda = lda.predict(X_test_scaled)\n",
    "plot_confusion_matrix(y_test, y_pred_lda, 'LDA')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绘制准确率比较图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 21508 (\\N{CJK UNIFIED IDEOGRAPH-5404}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27169 (\\N{CJK UNIFIED IDEOGRAPH-6A21}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22411 (\\N{CJK UNIFIED IDEOGRAPH-578B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27604 (\\N{CJK UNIFIED IDEOGRAPH-6BD4}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 36739 (\\N{CJK UNIFIED IDEOGRAPH-8F83}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22238 (\\N{CJK UNIFIED IDEOGRAPH-56DE}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\32107\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 24402 (\\N{CJK UNIFIED IDEOGRAPH-5F52}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAOho2rTHKScnp00bb+t4AACAjsjJIQAAABKEEwAAQEKbv+P0wgsvtHpsJpPZrUkBAAB0JG0KpwsuuCB+9atftXr81KlT2zofAACADqdN4fT3f//3sX379laP79LFkYAAAMBXX5vCadSoUdG7d+9Wjc1kMvGHP/wh/uM//mN35gUAANBhtPk7Ts8++2yrxx933HFtnhAAAEBH4zpOAAAACb6EBAAAkCCcAAAAEoQTAABAQptODtG3b98YM2ZMq8f369evzRMCAADoaNoUTiNHjoz333+/1eOPOOKIts4HAACgw2lTOD311FPx2GOPRSaTadX473//+3Httdfu1sQAAAA6ijZfx2nw4MFtGg8AAPBV5zpOAAAACc6qBwAAkCCcAAAAEtr8HacFCxa0eiwAAMC+oE3hVF5eHnV1da0eP378+DZPCAAAoKNpUziNHj26veYBAADQYfmOEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACVkPp/Ly8hg2bFjk5eVFUVFRrFixolXrvfTSS9GtW7f4xje+0b4TBAAAOr2shtPy5ctj5syZcdVVV8Xq1atj7NixMWHChKipqdnleps2bYopU6bEKaecspdmCgAAdGZZDadFixbFtGnTYvr06TFixIhYvHhxFBQUxJIlS3a53sUXXxxnn312jB49ei/NFAAA6MyyFk5bt26NVatWRXFxcZPlxcXFsXLlyp2ud++998Zvf/vbuOaaa1r1PPX19VFXV9fkBgAA0BZZC6cNGzZEQ0ND5OfnN1men58f69ata3Gdd955J+bMmRMPPPBAdOvWrVXPs3DhwujVq1fjraCg4EvPHQAA6FyyfnKInJycJvczmUyzZRERDQ0NcfbZZ8f8+fPjyCOPbPX2586dG5s2bWq8rV279kvPGQAA6Fxat9umHfTr1y+6du3abO/S+vXrm+2FiojYvHlzvPbaa7F69er44Q9/GBER27dvj0wmE926dYunn346vv3tbzdbLzc3N3Jzc9vnRQAAAJ1C1vY4de/ePYqKiqKqqqrJ8qqqqhgzZkyz8T179ow33ngjqqurG28lJSVx1FFHRXV1dRx//PF7a+oAAEAnk7U9ThERZWVlce6558bIkSNj9OjRcffdd0dNTU2UlJRExBeH2X300Udx//33R5cuXaKwsLDJ+v3794+8vLxmywEAAPakrIbT5MmTY+PGjbFgwYKora2NwsLCqKysjCFDhkRERG1tbfKaTgAAAO0tq+EUEVFaWhqlpaUtPlZRUbHLdefNmxfz5s3b85MCAAD4E1k/qx4AAEBHJ5wAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQIJwAAAAShBMAAECCcAIAAEgQTgAAAAnCCQAAIEE4AQAAJAgnAACABOEEAACQkPVwKi8vj2HDhkVeXl4UFRXFihUrdjr2kUceie985ztx8MEHR8+ePWP06NHx1FNP7cXZAgAAnVFWw2n58uUxc+bMuOqqq2L16tUxduzYmDBhQtTU1LQ4/oUXXojvfOc7UVlZGatWrYpx48bFGWecEatXr97LMwcAADqTrIbTokWLYtq0aTF9+vQYMWJELF68OAoKCmLJkiUtjl+8eHFcfvnlcdxxx8Xw4cPjhhtuiOHDh8cTTzyxl2cOAAB0JlkLp61bt8aqVauiuLi4yfLi4uJYuXJlq7axffv22Lx5c/Tp06c9pggAABAREd2y9cQbNmyIhoaGyM/Pb7I8Pz8/1q1b16pt3HLLLfHpp5/GpEmTdjqmvr4+6uvrG+/X1dXt3oQBAIBOK+snh8jJyWlyP5PJNFvWkgcffDDmzZsXy5cvj/79++903MKFC6NXr16Nt4KCgi89ZwAAoHPJWjj169cvunbt2mzv0vr165vthfpzy5cvj2nTpsW//du/xamnnrrLsXPnzo1NmzY13tauXful5w4AAHQuWQun7t27R1FRUVRVVTVZXlVVFWPGjNnpeg8++GBMnTo1/vVf/zUmTpyYfJ7c3Nzo2bNnkxsAAEBbZO07ThERZWVlce6558bIkSNj9OjRcffdd0dNTU2UlJRExBd7iz766KO4//77I+KLaJoyZUr89Kc/jRNOOKFxb1WPHj2iV69eWXsdAADAvi2r4TR58uTYuHFjLFiwIGpra6OwsDAqKytjyJAhERFRW1vb5JpOd911V2zbti0uueSSuOSSSxqXn3feeVFRUbG3pw8AAHQSWQ2niIjS0tIoLS1t8bE/j6Hnnnuu/ScEAADwZ7J+Vj0AAICOTjgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkCCcAAIAE4QQAAJAgnAAAABKEEwAAQIJwAgAASBBOAAAACcIJAAAgQTgBAAAkZD2cysvLY9iwYZGXlxdFRUWxYsWKXY5//vnno6ioKPLy8uKwww6LO++8cy/NFAAA6KyyGk7Lly+PmTNnxlVXXRWrV6+OsWPHxoQJE6KmpqbF8e+9916cfvrpMXbs2Fi9enVceeWVMWPGjHj44Yf38swBAIDOJKvhtGjRopg2bVpMnz49RowYEYsXL46CgoJYsmRJi+PvvPPOGDx4cCxevDhGjBgR06dPjwsuuCBuvvnmvTxzAACgM+mWrSfeunVrrFq1KubMmdNkeXFxcaxcubLFdV5++eUoLi5usmz8+PGxdOnS+Pzzz2O//fZrtk59fX3U19c33t+0aVNERNTV1X3Zl7DHbK//Q7anwD6kI723d/AeZ0/yHqcz8D5nX9dR3uM75pHJZJJjsxZOGzZsiIaGhsjPz2+yPD8/P9atW9fiOuvWrWtx/LZt22LDhg0xcODAZussXLgw5s+f32x5QUHBl5g9dFy9Fmd7BtC+vMfpDLzP2dd1tPf45s2bo1evXrsck7Vw2iEnJ6fJ/Uwm02xZanxLy3eYO3dulJWVNd7fvn17fPLJJ9G3b99dPg8dS11dXRQUFMTatWujZ8+e2Z4O7HHe43QG3ufs67zHv3oymUxs3rw5Bg0alBybtXDq169fdO3atdnepfXr1zfbq7TDgAEDWhzfrVu36Nu3b4vr5ObmRm5ubpNlvXv33v2Jk1U9e/b0i4h9mvc4nYH3Ofs67/GvltSeph2ydnKI7t27R1FRUVRVVTVZXlVVFWPGjGlxndGjRzcb//TTT8fIkSNb/H4TAADAnpDVs+qVlZXFPffcE8uWLYs1a9bErFmzoqamJkpKSiLii8PspkyZ0ji+pKQkPvjggygrK4s1a9bEsmXLYunSpXHZZZdl6yUAAACdQFa/4zR58uTYuHFjLFiwIGpra6OwsDAqKytjyJAhERFRW1vb5JpOw4YNi8rKypg1a1bccccdMWjQoLjtttvie9/7XrZeAntJbm5uXHPNNc0Ou4R9hfc4nYH3Ofs67/F9W06mNefeAwAA6MSyeqgeAADAV4FwAgAASBBOAAAACcKJrBs6dGgsXrx4t9evqKhwbS4AANqVcCJp6tSpceaZZ7bb9l999dW46KKLWjW2pciaPHlyvP32261a/6GHHopvfOMbLd5uu+222Lp1604fP/XUU9v60ujEpk6dGjk5OY2XV/hTpaWlkZOTE1OnTm0cu6ufsaFDh0ZOTk7k5OTE/vvvH4WFhXHXXXe108yh9datWxeXXnppHHbYYZGbmxsFBQVxxhlnxDPPPBMR///efeWVV5qsN3PmzDj55JMb78+bN6/Fn5fq6urIycmJ999/v71fCuzUrn5H/+nv5x49esTQoUNj0qRJ8eyzz7Y4/rPPPou/+Iu/iD59+sRnn33WjrOmPQgnsu7ggw+O/ffff7fX79GjR/Tv379VYzds2BAzZ86M6urqJrfFixfH7373u9i+fXv07t272ePV1dWxZcuW3Z4jnVNBQUH8/Oc/b/LH8Y9//GM8+OCDMXjw4DZta8dlG/7zP/8zzjzzzCgpKYnly5fv6SlDq73//vtRVFQUzz77bNx0003xxhtvxJNPPhnjxo2LSy65pHFcXl5eXHHFFcnt5eXlxdKlS1v9QRh0FDt+P7/11ltx//33R+/evePUU0+N66+/vtnYhx9+OAoLC+NrX/taPPLII1mYLV+GcOJLef7552PUqFGRm5sbAwcOjDlz5sS2bdsaH9+8eXP84Ac/iAMOOCAGDhwYt956a5x88skxc+bMxjF/vhdp3rx5MXjw4MjNzY1BgwbFjBkzIiLi5JNPjg8++CBmzZrV+OlORMuH6j3++OMxcuTIyMvLi379+sV3v/vddvs3gJ355je/GYMHD27yx/GRRx6JgoKC+Ku/+qs2beuggw6KAQMGxBFHHBHXXXddDB8+PB577LE9PGNovR17Tn/961/H3/3d38WRRx4Zf/mXfxllZWVN9jBdfPHF8corr0RlZeUut3fUUUfFuHHj4sc//nF7Tx32qB2/nwcPHhwnnXRS3H333fGTn/wkrr766njrrbeajF26dGmcc845cc4558TSpUuzNGN2l3Bit3300Udx+umnx3HHHRevv/56LFmyJJYuXRrXXXdd45iysrJ46aWX4vHHH4+qqqpYsWJF/OY3v9npNh966KG49dZb46677op33nknHnvssfj6178eEV/8h/PQQw9t/GSntra2xW388pe/jO9+97sxceLEWL16dTzzzDMxcuTIPfvioZXOP//8uPfeexvvL1u2LC644IIvvd28vLz4/PPPv/R2YHd88skn8eSTT8Yll1wSBxxwQLPH//TDrKFDh0ZJSUnMnTs3tm/fvsvt3njjjfHwww/Hq6++uqenDHvVP/zDP0Qmk4l///d/b1z229/+Nl5++eWYNGlSTJo0KVauXBnvvvtuFmdJWwkndlt5eXkUFBTE7bffHkcffXSceeaZMX/+/Ljlllti+/btsXnz5rjvvvvi5ptvjlNOOSUKCwvj3nvvjYaGhp1us6amJgYMGBCnnnpqDB48OEaNGhUXXnhhRET06dMnunbt2vjJzoABA1rcxvXXXx9nnXVWzJ8/P0aMGBHHHntsXHnlle3ybwAp5557brz44ovx/vvvxwcffBAvvfRSnHPOObu9vW3btkVFRUW88cYbccopp+zBmULr/c///E9kMpk4+uijWzX+xz/+cbz33nvxwAMP7HLcN7/5zZg0aVLMmTNnT0wTsqZPnz7Rv3//Jt/PW7ZsWUyYMKHxO06nnXZaLFu2LHuTpM2EE7ttzZo1MXr06MZD5iIiTjzxxNiyZUt8+OGH8e6778bnn38eo0aNany8V69ecdRRR+10m9///vfjs88+i8MOOywuvPDCePTRR5sc+tca1dXV/kNJh9GvX7+YOHFi3HfffXHvvffGxIkTo1+/fm3ezhVXXBEHHnhg9OjRIy655JKYPXt2XHzxxe0wY0jLZDIREU1+/+/KwQcfHJdddllcffXVsXXr1l2Ove6662LFihXx9NNPf+l5QjZlMpnGn5GGhoa47777mnxwds4558R99923yw+U6ViEE7vtT38h/OmyiC/+mO7sD+uO5S0pKCiIt956K+64447o0aNHlJaWxkknndSmQ5J69OjR6rGwN1xwwQVRUVER9913324fpjd79uyorq6ODz74ILZs2RI33XRTdOniVzjZMXz48MjJyYk1a9a0ep2ysrL47LPPory8fJfjDj/88Ljwwgtjzpw5u/x7AR3Zxo0b4+OPP45hw4ZFRMRTTz0VH330UUyePDm6desW3bp1i7POOis+/PBDHxJ8hfiry2772te+FitXrmzyh23lypVx0EEHxSGHHBKHH3547LfffvHrX/+68fG6urp45513drndHj16xN/8zd/EbbfdFs8991y8/PLL8cYbb0RERPfu3ZOfzBxzzDGNp8KFjuC0006LrVu3xtatW2P8+PG7tY1+/frFEUccEYMGDWr1p/zQXvr06RPjx4+PO+64Iz799NNmj//v//5vs2UHHnhg/OQnP4nrr78+6urqdrn9q6++Ot5+++34+c9/vqemDHvVT3/60+jSpUvjacyXLl0aZ511VrMz9v7gBz9wkoivkG7ZngBfDZs2bYrq6uomyy666KJYvHhxXHrppfHDH/4w3nrrrbjmmmuirKwsunTpEgcddFCcd955MXv27MZjfa+55pro0qXLTv/jV1FREQ0NDXH88cfH/vvvHz/72c+iR48eMWTIkIj44kvGL7zwQpx11lmRm5vb4iFP11xzTZxyyilx+OGHx1lnnRXbtm2LX/3qV3H55Zfv8X8XaI2uXbs2fjLftWvXFse09DPWp0+fNp+2HPaW8vLyGDNmTIwaNSoWLFgQxxxzTGzbti2qqqpiyZIlLe6Nuuiii+LWW2+NBx98MI4//vidbjs/Pz/Kysrin/7pn9rzJUCr7ex3dMQXZxBet25dfP755/Hee+/Fv/zLv8Q999wTCxcujCOOOCI+/vjjeOKJJ+Lxxx+PwsLCJts477zzYuLEifHxxx/HwQcfvLdeDrtJONEqzz33XLPTJ5933nlRWVkZs2fPjmOPPTb69OkT06ZNa3Iq2UWLFkVJSUn89V//dfTs2TMuv/zyWLt2beTl5bX4PL17944bb7wxysrKoqGhIb7+9a/HE088EX379o2IL66VcPHFF8fhhx8e9fX1LR7GcfLJJ8cvfvGLuPbaa+PGG2+Mnj17xkknnbQH/zWg7Xr27LnLx3f2M1ZRUdGOs4LdN2zYsPjNb34T119/ffzoRz+K2traOPjgg6OoqCiWLFnS4jr77bdfXHvttXH22Wcntz979uxYsmRJ/PGPf9zTU4c229nv6Igv9pBeffXV0b179xgwYECccMIJ8cwzz8S4ceMiIuL++++PAw44oMXvX48bNy4OOuig+NnPfhZlZWXt/0L4UnIyDiBmL/r000/jkEMOiVtuuSWmTZu215//zjvvjLy8vJg6dWqT5c8991w8+eSTMW/evDjttNPiueeea7buCSec0OTaJAAAdB72ONGuVq9eHf/93/8do0aNik2bNsWCBQsiIuJv//ZvszwzAABoPeFEu7v55pvjrbfeiu7du0dRUVGsWLFit07HvCf0798/brjhhrj99tubPTZ16tTo0qVLbNmypcUL5mZrzgAAZJ9D9QAAABKcjhwAACBBOAEAACQIJwAAgAThBAAAkCCcAAAAEoQTAABAgnACAABIEE4AAAAJwgkAACDh/wA0uZwCufSQ2QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = ['Logistic回归', 'MLP', 'CNN', 'LDA']\n",
    "scores = [log_reg_score, mlp_score, cnn_score, lda_score]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(models, scores)\n",
    "plt.ylim(0, 1)\n",
    "plt.title('各模型准确率比较')\n",
    "plt.ylabel('准确率')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
